diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
new file mode 100644
index 0000000..673e322
--- /dev/null
+++ b/.github/workflows/test.yml
@@ -0,0 +1,28 @@
+name: test
+
+on:
+  pull_request:
+  push:
+    branches:
+      - main
+
+jobs:
+  backend:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ["3.11"]
+    steps:
+      - name: Checkout repo
+        uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Setup Poetry
+        run: |
+          curl -sSL https://install.python-poetry.org | python3 -
+          poetry install
+      - name: test code with pytest
+        run: |
+          poetry run python -m pytest
diff --git a/.gitignore b/.gitignore
index 44738c5..ef73e00 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,4 @@
 .env.local
 **/__pycache__
-.python-version
\ No newline at end of file
+.python-version
+.temp
\ No newline at end of file
diff --git a/.vscode/extensions.json b/.vscode/extensions.json
index b5cd589..15a320d 100644
--- a/.vscode/extensions.json
+++ b/.vscode/extensions.json
@@ -1,3 +1,3 @@
 {
-  "recommendations": ["ms-python.black-formatter"]
+  "recommendations": ["ms-python.black-formatter", "ms-python.flake8"]
 }
diff --git a/README.md b/README.md
index b049b23..d90e54e 100644
--- a/README.md
+++ b/README.md
@@ -7,6 +7,8 @@ So far we have:
 - Store MBTA Alerts data daily.
 - Store number of trips with new trains on Orange and Red line daily.
 - Store Bluebikes station status data every 5 min.
+- Store ridership data
+- Process and store speed restrictions
 
 To add a new lambda function, put the methods you need in a new file in chalicelib/.
 Then add your trigger in app.py.
diff --git a/deploy.sh b/deploy.sh
index 83bd247..cd3d65a 100755
--- a/deploy.sh
+++ b/deploy.sh
@@ -15,6 +15,8 @@ echo "Deploying version $GIT_VERSION | $GIT_SHA"
 
 # Adding some datadog tags to get better data
 DD_TAGS="git.commit.sha:$GIT_SHA,git.repository_url:github.com/transitmatters/data-ingestion"
+DD_GIT_REPOSITORY_URL="github.com/transitmatters/data-ingestion"
+DD_GIT_COMMIT_SHA="$GIT_SHA"
 
 poetry export -f requirements.txt --output ingestor/requirements.txt --without-hashes
 
diff --git a/ingestor/app.py b/ingestor/app.py
index 1244f06..01c5dc4 100644
--- a/ingestor/app.py
+++ b/ingestor/app.py
@@ -15,6 +15,7 @@
     predictions,
     landing,
     trip_metrics,
+    lamp,
     yankee,
 )
 
@@ -161,3 +162,9 @@ def store_landing_data(event):
 @app.schedule(Cron("0/5", "0-6,9-23", "*", "*", "?", "*"))
 def update_yankee_shuttles(event):
     yankee.update_shuttles()
+
+
+# Runs every 60 minutes from either 4 AM -> 1:55AM or 5 AM -> 2:55 AM depending on DST
+@app.schedule(Cron("0", "0-6,9-23", "*", "*", "?", "*"))
+def process_daily_lamp(event):
+    lamp.ingest_lamp_data()
diff --git a/ingestor/chalicelib/__init__.py b/ingestor/chalicelib/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/ingestor/chalicelib/lamp/__init__.py b/ingestor/chalicelib/lamp/__init__.py
new file mode 100644
index 0000000..bcc7cac
--- /dev/null
+++ b/ingestor/chalicelib/lamp/__init__.py
@@ -0,0 +1,3 @@
+__all__ = ["ingest_lamp_data"]
+
+from .ingest import ingest_lamp_data
diff --git a/ingestor/chalicelib/lamp/backfill/__init__.py b/ingestor/chalicelib/lamp/backfill/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/ingestor/chalicelib/lamp/backfill/main.py b/ingestor/chalicelib/lamp/backfill/main.py
new file mode 100644
index 0000000..e69de29
diff --git a/ingestor/chalicelib/lamp/ingest.py b/ingestor/chalicelib/lamp/ingest.py
new file mode 100644
index 0000000..d61e74d
--- /dev/null
+++ b/ingestor/chalicelib/lamp/ingest.py
@@ -0,0 +1,150 @@
+from datetime import date
+import io
+from typing import Tuple
+import requests
+import pandas as pd
+
+from .utils import format_dateint, get_current_service_date
+from ..parallel import make_parallel
+from ..s3 import upload_df_as_csv
+
+
+LAMP_INDEX_URL = "https://performancedata.mbta.com/lamp/subway-on-time-performance-v1/index.csv"
+RAPID_DAILY_URL_TEMPLATE = "https://performancedata.mbta.com/lamp/subway-on-time-performance-v1/{YYYY_MM_DD}-subway-on-time-performance-v1.parquet"
+S3_BUCKET = "tm-mbta-performance"
+# month and day are not zero-padded
+S3_KEY_TEMPLATE = "Events-lamp/daily-data/{stop_id}/Year={YYYY}/Month={_M}/Day={_D}/events.csv"
+
+
+# LAMP columns to fetch from parquet files
+INPUT_COLUMNS = [
+    "service_date",
+    "route_id",
+    "trip_id",
+    "stop_id",
+    "direction_id",
+    "stop_sequence",
+    "vehicle_id",
+    "vehicle_label",
+    "move_timestamp",  # departure time from the previous station
+    "stop_timestamp",  # arrival time at the current station
+]
+
+# columns that should be output to s3 events.csv
+OUTPUT_COLUMNS = [
+    "service_date",
+    "route_id",
+    "trip_id",
+    "direction_id",
+    "stop_id",
+    "stop_sequence",
+    "vehicle_id",
+    "vehicle_label",
+    "event_type",
+    "event_time",
+]
+
+
+def _local_save(s3_key, stop_events):
+    """TODO remove this temp code, it saves the output files locally!"""
+    import os
+
+    s3_key = ".temp/" + s3_key
+    if not os.path.exists(os.path.dirname(s3_key)):
+        os.makedirs(os.path.dirname(s3_key))
+    stop_events.to_csv(s3_key)
+
+
+def _process_arrival_departure_times(pq_df: pd.DataFrame) -> pd.DataFrame:
+    """Process and collate arrivals and departures for a timetable of events.
+
+    Before: TODO add example
+    After: TODO add example
+    """
+    # NB: While generally, we can trust df dtypes fetched from parquet files as the files are compressed with columnar metadata,
+    # theres some numerical imprecisions that numpy seem to be throwing on M1 machines
+    # that are affecting how epoch timestamps are being cased to datetimes. Maybe not a problem on the AWS machines, though?
+    pq_df["dep_time"] = pd.to_datetime(pq_df["move_timestamp"], unit="s", utc=True).dt.tz_convert("US/Eastern")
+    pq_df["arr_time"] = pd.to_datetime(pq_df["stop_timestamp"], unit="s", utc=True).dt.tz_convert("US/Eastern")
+
+    # explode departure and arrival times
+    arr_df = pq_df[pq_df["arr_time"].notna()]
+    arr_df = arr_df.assign(event_type="ARR").rename(columns={"arr_time": "event_time"})
+    arr_df = arr_df[OUTPUT_COLUMNS]
+
+    dep_df = pq_df[pq_df["dep_time"].notna()]
+    dep_df = dep_df.assign(event_type="DEP").rename(columns={"dep_time": "event_time"}).drop(columns=["arr_time"])
+
+    # these departures are from the the previous stop! so set them to the previous stop id
+    # find the stop id for the departure whose sequence number precences the recorded one
+    # stop sequences don't necessarily increment by 1 or with a reliable pattern
+    dep_df = dep_df.sort_values(by=["stop_sequence"])
+    dep_df = pd.merge_asof(
+        dep_df,
+        dep_df,
+        on=["stop_sequence"],
+        by=[
+            "service_date",  # comment for faster performance
+            "route_id",
+            "trip_id",
+            "vehicle_id",
+            "vehicle_label",  # comment for faster performance
+            "direction_id",
+            "event_type",  # comment for faster performance
+        ],
+        direction="backward",
+        suffixes=("_curr", "_prev"),
+        allow_exact_matches=False,  # don't want to match on itself
+    )
+    # use CURRENT time, but PREVIOUS stop id
+    dep_df = dep_df.rename(columns={"event_time_curr": "event_time", "stop_id_prev": "stop_id"})[OUTPUT_COLUMNS]
+
+    # stitch together arrivals and departures
+    return pd.concat([arr_df, dep_df])
+
+
+def fetch_pq_file_from_remote(service_date: date) -> pd.DataFrame:
+    """Fetch a parquet file from LAMP for a given service date."""
+    # TODO(check if file exists in index, throw if it doesn't)
+    url = RAPID_DAILY_URL_TEMPLATE.format(YYYY_MM_DD=service_date.strftime("%Y-%m-%d"))
+    result = requests.get(url)
+    return pd.read_parquet(io.BytesIO(result.content), columns=INPUT_COLUMNS, engine="pyarrow")
+
+
+def ingest_pq_file(pq_df: pd.DataFrame) -> pd.DataFrame:
+    """Process and tranform columns for the full day's events."""
+    pq_df["direction_id"] = pq_df["direction_id"].astype("int16")
+    pq_df["service_date"] = pq_df["service_date"].apply(format_dateint)
+
+    processed_daily_events = _process_arrival_departure_times(pq_df)
+    return processed_daily_events.sort_values(by=["event_time"])
+
+
+def upload_to_s3(stop_id_and_events: Tuple[str, pd.DataFrame], service_date: date) -> None:
+    """Upload events to s3 as a .csv file."""
+    # unpack from iterable
+    stop_id, stop_events = stop_id_and_events
+
+    # Upload to s3 as csv
+    s3_key = S3_KEY_TEMPLATE.format(stop_id=stop_id, YYYY=service_date.year, _M=service_date.month, _D=service_date.day)
+    # _local_save(s3_key, stop_events)
+    upload_df_as_csv(S3_BUCKET, s3_key, stop_events)
+    return [stop_id]
+
+
+_parallel_upload = make_parallel(upload_to_s3)
+
+
+def ingest_lamp_data():
+    """Ingest and upload today's LAMP data."""
+    service_date = get_current_service_date()
+    pq_df = fetch_pq_file_from_remote(service_date)
+    processed_daily_events = ingest_pq_file(pq_df)
+
+    # split daily events by stop_id and parallel upload to s3
+    stop_event_groups = processed_daily_events.groupby("stop_id")
+    _parallel_upload(stop_event_groups, service_date)
+
+
+if __name__ == "__main__":
+    ingest_lamp_data()
diff --git a/ingestor/chalicelib/lamp/tests/__init__.py b/ingestor/chalicelib/lamp/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/ingestor/chalicelib/lamp/tests/test_util.py b/ingestor/chalicelib/lamp/tests/test_util.py
new file mode 100644
index 0000000..ae1248f
--- /dev/null
+++ b/ingestor/chalicelib/lamp/tests/test_util.py
@@ -0,0 +1,29 @@
+from datetime import date, datetime
+from ..utils import EASTERN_TIME, service_date
+
+
+def test_service_date():
+    assert service_date(datetime(2023, 12, 15, 3, 0, 0)) == date(2023, 12, 15)
+    assert service_date(datetime(2023, 12, 15, 5, 45, 0)) == date(2023, 12, 15)
+    assert service_date(datetime(2023, 12, 15, 7, 15, 0)) == date(2023, 12, 15)
+    assert service_date(datetime(2023, 12, 15, 23, 59, 59)) == date(2023, 12, 15)
+    assert service_date(datetime(2023, 12, 16, 0, 0, 0)) == date(2023, 12, 15)
+    assert service_date(datetime(2023, 12, 16, 2, 59, 59)) == date(2023, 12, 15)
+
+
+def test_localized_datetime():
+    assert service_date(datetime(2023, 12, 15, 3, 0, 0, tzinfo=EASTERN_TIME)) == date(2023, 12, 15)
+    assert service_date(datetime(2023, 12, 15, 5, 45, 0, tzinfo=EASTERN_TIME)) == date(2023, 12, 15)
+    assert service_date(datetime(2023, 12, 15, 7, 15, 0, tzinfo=EASTERN_TIME)) == date(2023, 12, 15)
+    assert service_date(datetime(2023, 12, 15, 23, 59, 59, tzinfo=EASTERN_TIME)) == date(2023, 12, 15)
+    assert service_date(datetime(2023, 12, 16, 0, 0, 0, tzinfo=EASTERN_TIME)) == date(2023, 12, 15)
+    assert service_date(datetime(2023, 12, 16, 2, 59, 59, tzinfo=EASTERN_TIME)) == date(2023, 12, 15)
+
+
+def test_edt_vs_est_datetimes():
+    assert service_date(datetime(2023, 11, 5, 23, 59, 59, tzinfo=EASTERN_TIME)) == date(2023, 11, 5)
+    assert service_date(datetime(2023, 11, 6, 0, 0, 0, tzinfo=EASTERN_TIME)) == date(2023, 11, 5)
+    assert service_date(datetime(2023, 11, 6, 1, 0, 0, tzinfo=EASTERN_TIME)) == date(2023, 11, 5)
+    assert service_date(datetime(2023, 11, 6, 2, 0, 0, tzinfo=EASTERN_TIME)) == date(2023, 11, 5)
+    # 3am EST is 4am EDT
+    assert service_date(datetime(2023, 11, 6, 3, 0, 0, tzinfo=EASTERN_TIME)) == date(2023, 11, 6)
diff --git a/ingestor/chalicelib/lamp/utils.py b/ingestor/chalicelib/lamp/utils.py
new file mode 100644
index 0000000..4255c4a
--- /dev/null
+++ b/ingestor/chalicelib/lamp/utils.py
@@ -0,0 +1,25 @@
+from datetime import date, datetime, timedelta
+from zoneinfo import ZoneInfo
+
+EASTERN_TIME = ZoneInfo("US/Eastern")
+
+
+def service_date(ts: datetime) -> date:
+    # In practice a None TZ is UTC, but we want to be explicit
+    # In many places we have an implied eastern
+    ts = ts.replace(tzinfo=EASTERN_TIME)
+
+    if ts.hour >= 3 and ts.hour <= 23:
+        return date(ts.year, ts.month, ts.day)
+
+    prior = ts - timedelta(days=1)
+    return date(prior.year, prior.month, prior.day)
+
+
+def get_current_service_date() -> date:
+    return service_date(datetime.now(EASTERN_TIME))
+
+
+def format_dateint(dtint: int) -> str:
+    """Safely takes a dateint of YYYYMMDD to YYYY-MM-DD."""
+    return datetime.strptime(str(dtint), "%Y%m%d").strftime("%Y-%m-%d")
diff --git a/poetry.lock b/poetry.lock
index a8e61f1..b4e049a 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -32,33 +32,33 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p
 
 [[package]]
 name = "black"
-version = "24.2.0"
+version = "24.3.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
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+    {file = "black-24.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:7bb041dca0d784697af4646d3b62ba4a6b028276ae878e53f6b4f74ddd6db99f"},
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+    {file = "black-24.3.0.tar.gz", hash = "sha256:a0c9c4a0771afc6919578cec71ce82a3e31e054904e7197deacbc9382671c41f"},
 ]
 
 [package.dependencies]
@@ -92,17 +92,17 @@ wcwidth = ">=0.1.4"
 
 [[package]]
 name = "boto3"
-version = "1.34.60"
+version = "1.34.78"
 description = "The AWS SDK for Python"
 optional = false
-python-versions = ">= 3.8"
+python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.34.60-py3-none-any.whl", hash = "sha256:199f11518b370e2ec1f6d5ec0c647eca967b6eb2cf6a332d9fc01a2144ea3690"},
-    {file = "boto3-1.34.60.tar.gz", hash = "sha256:f78f30f4d6b1d5839ec20da9ffe0f3b36c1b404a415d208459a0b88c202a05e9"},
+    {file = "boto3-1.34.78-py3-none-any.whl", hash = "sha256:47a7899af97960493ed58754c838be658650c8fb231c658866f491965ddfc94f"},
+    {file = "boto3-1.34.78.tar.gz", hash = "sha256:227487f9a40e7963aa108f4fabc81374d65e085891a2a442c190dfd976b86a9e"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.60,<1.35.0"
+botocore = ">=1.34.78,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -111,19 +111,19 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.60"
+version = "1.34.78"
 description = "Low-level, data-driven core of boto 3."
 optional = false
-python-versions = ">= 3.8"
+python-versions = ">=3.8"
 files = [
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+    {file = "botocore-1.34.78-py3-none-any.whl", hash = "sha256:bc10738826a4970a6d3a40ac40b9799c02b1b661c0c741a67b915b500562ab3c"},
+    {file = "botocore-1.34.78.tar.gz", hash = "sha256:889fcfd1813fad225a5a70940c58cd4bd7a6f5ba6c9769a1d41d0c670272b75d"},
 ]
 
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
-urllib3 = {version = ">=1.25.4,<2.1", markers = "python_version >= \"3.10\""}
+urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
 crt = ["awscrt (==0.19.19)"]
@@ -352,13 +352,13 @@ files = [
 
 [[package]]
 name = "datadog"
-version = "0.48.0"
+version = "0.49.1"
 description = "The Datadog Python library"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
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+    {file = "datadog-0.49.1-py2.py3-none-any.whl", hash = "sha256:4a56d57490ea699a0dfd9253547485a57b4120e93489defadcf95c66272374d6"},
+    {file = "datadog-0.49.1.tar.gz", hash = "sha256:4cb7a7991af6cadb868fe450cd456473e65f11fc678b7d7cf61044ff1c6074d8"},
 ]
 
 [package.dependencies]
@@ -386,19 +386,21 @@ dev = ["boto3 (>=1.28.0,<2.0.0)", "flake8 (>=5.0.4,<6.0.0)", "pytest (>=8.0.0,<9
 
 [[package]]
 name = "ddsketch"
-version = "2.0.4"
+version = "3.0.1"
 description = "Distributed quantile sketches"
 optional = false
-python-versions = ">=2.7"
+python-versions = ">=3.7"
 files = [
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+    {file = "ddsketch-3.0.1-py3-none-any.whl", hash = "sha256:6d047b455fe2837c43d366ff1ae6ba0c3166e15499de8688437a75cea914224e"},
+    {file = "ddsketch-3.0.1.tar.gz", hash = "sha256:aa8f20b2965e61731ca4fee2ca9c209f397f5bbb23f9d192ec8bd7a2f5bd9824"},
 ]
 
 [package.dependencies]
-protobuf = {version = ">=3.0.0", markers = "python_version >= \"3.7\""}
 six = "*"
 
+[package.extras]
+serialization = ["protobuf (>=3.0.0)"]
+
 [[package]]
 name = "ddtrace"
 version = "2.7.2"
@@ -676,13 +678,13 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "6.11.0"
+version = "7.0.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -693,6 +695,17 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.link
 perf = ["ipython"]
 testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
+[[package]]
+name = "iniconfig"
+version = "2.0.0"
+description = "brain-dead simple config-ini parsing"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
+]
+
 [[package]]
 name = "inquirer"
 version = "2.10.1"
@@ -844,18 +857,18 @@ et-xmlfile = "*"
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.23.0"
+version = "1.24.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_api-1.23.0-py3-none-any.whl", hash = "sha256:cc03ea4025353048aadb9c64919099663664672ea1c6be6ddd8fee8e4cd5e774"},
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+    {file = "opentelemetry_api-1.24.0-py3-none-any.whl", hash = "sha256:0f2c363d98d10d1ce93330015ca7fd3a65f60be64e05e30f557c61de52c80ca2"},
+    {file = "opentelemetry_api-1.24.0.tar.gz", hash = "sha256:42719f10ce7b5a9a73b10a4baf620574fb8ad495a9cbe5c18d76b75d8689c67e"},
 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<7.0"
+importlib-metadata = ">=6.0,<=7.0"
 
 [[package]]
 name = "packaging"
@@ -949,26 +962,89 @@ files = [
 docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
 test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
 
+[[package]]
+name = "pluggy"
+version = "1.4.0"
+description = "plugin and hook calling mechanisms for python"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
+dev = ["pre-commit", "tox"]
+testing = ["pytest", "pytest-benchmark"]
+
 [[package]]
 name = "protobuf"
-version = "4.25.3"
+version = "5.26.1"
 description = ""
 optional = false
 python-versions = ">=3.8"
 files = [
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 version = "2.11.1"
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+
 [[package]]
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 version = "2.9.0.post0"
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@@ -1093,13 +1200,13 @@ files = [
 
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+version = "4.0.6"
 description = "Library to easily read single chars and key strokes"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -1142,13 +1249,13 @@ requests = ">=2.0.1,<3.0.0"
 
 [[package]]
 name = "s3transfer"
-version = "0.10.0"
+version = "0.10.1"
 description = "An Amazon S3 Transfer Manager"
 optional = false
 python-versions = ">= 3.8"
 files = [
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 [package.dependencies]
@@ -1159,18 +1266,18 @@ crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
 
 [[package]]
 name = "setuptools"
-version = "69.1.1"
+version = "69.2.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
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 python-versions = ">=3.8"
 files = [
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 [[package]]
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 python-versions = ">=3.7"
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-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "~3.11"
-content-hash = "266d07564a8d7e8663844819d1f6fd1768e8896cd49586cdbec02e8736295dc2"
+content-hash = "4b078be8386ecbb2be6b9cd00a8403d83ec117d75f71f3dc0b1157ca633a15dc"
diff --git a/pyproject.toml b/pyproject.toml
index fb11324..f956050 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -21,11 +21,13 @@ dynamodb-json = "^1.3"
 datadog_lambda = "5.90.0"
 ddtrace = "2.7.2"
 tqdm = "^4.66.1"
+pyarrow = "^15.0.2"
 
 [tool.poetry.dev-dependencies]
 chalice = "^1.31.0"
 flake8 = "^7.0.0"
 black = "^24.2.0"
+pytest = "~8.1.1"
 
 [tool.black]
 line-length = 120