diff --git a/sdks/python/apache_beam/io/tectonio.py b/sdks/python/apache_beam/io/tectonio.py
new file mode 100644
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+++ b/sdks/python/apache_beam/io/tectonio.py
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+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information regarding
+# copyright ownership.  The ASF licenses this file to You under the
+# Apache License, Version 2.0 (the "License"); you may not use this
+# file except in compliance with the License.  You may obtain a copy
+# of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+# implied.  See the License for the specific language governing
+# permissions and limitations under the License.
+
+"""Tecton Stream Ingest sink for Apache Beam.
+
+This module provides functionality to write data to Tecton's feature store
+using the Tecton Stream Ingest API.
+
+For more information about Tecton Stream Ingest API, see:
+https://docs.tecton.ai/docs/stream-features/stream-ingest-api
+"""
+
+from dataclasses import dataclass
+import json
+import logging
+from typing import Any, Dict, List
+
+import apache_beam as beam
+from apache_beam.metrics import Metrics
+from apache_beam.transforms import DoFn, PTransform
+from apache_beam.transforms import Reshuffle
+
+import requests
+from requests.adapters import HTTPAdapter
+from requests.exceptions import RequestException
+from urllib3.util.retry import Retry
+
+
+_LOGGER = logging.getLogger(__name__)
+
+# Tecton Stream Ingest API endpoint template.
+INGEST_API_ENDPOINT_TEMPLATE = "https://preview.{instance}/ingest"
+
+# Default batch size for writing data to Milvus, matching
+# JdbcIO.DEFAULT_BATCH_SIZE.
+DEFAULT_BATCH_SIZE = 1000
+
+# Metrics namespace for Tecton Stream Ingest operations.
+TECTON_METRICS_NAMESPACE = 'tecton_stream_ingest'
+
+@dataclass
+class TectonStreamWriteConfig:
+    """Configuration for writing data to Tecton using Stream Ingest API.
+
+    Attributes:
+        tecton_instance: Tecton instance domain (e.g., 'explore.tecton.ai')
+        api_key: Tecton API key for authentication
+        workspace_name: Name of the Tecton workspace
+        stream_source_name: Name of the Stream Source
+        batch_size: Number of records to batch together. Defaults to 1000.
+        max_retries: Maximum number of retries for failed requests. Defaults
+          to 3 retries.
+        timeout: Request timeout in seconds. Defaults to 30.0 seconds.
+        dry_run: Whether to validate but not write data. Defaults to False.
+    """
+    tecton_instance: str
+    api_key: str
+    workspace_name: str
+    stream_source_name: str
+    batch_size: int = DEFAULT_BATCH_SIZE
+    max_retries: int = 3
+    timeout: float = 30.0
+    dry_run: bool = False
+
+    def __post_init__(self):
+      if not self.tecton_instance:
+        raise ValueError(
+          'Please provide a Tecton instance (`tecton_instance`).')
+      if not self.api_key:
+        raise ValueError('Please provide an API key (`api_key`).')
+      if not self.workspace_name:
+        raise ValueError('Please provide a workspace name (`workspace_name`).')
+      if not self.stream_source_name:
+        raise ValueError(
+          'Please provide a stream source name (`stream_source_name`).')
+
+class WriteToTectonStream(PTransform):
+    """A PTransform for writing data to Tecton using Stream Ingest API.
+
+    This transform writes data to Tecton's feature store using the Stream Ingest
+    API. It supports batching, retries, and error handling.
+
+    Example usage:
+        tecton_config = TectonStreamWriteConfig(
+            tecton_instance='your-tecton-instance',
+            api_key='your-api-key',
+            workspace_name='your-workspace',
+            stream_source_name='your-stream-source'
+        )
+        pipeline = beam.Pipeline()
+        data = pipeline | beam.Create([{'user_id': '123', 'amount': 100.0}])
+        data | WriteToTectonStream(tecton_config=tecton_config)
+    """
+
+    def __init__(self, tecton_config: TectonStreamWriteConfig):
+      super().__init__()
+      tecton_instance = tecton_config.tecton_instance
+      self.url = INGEST_API_ENDPOINT_TEMPLATE.format(instance=tecton_instance)
+      self.tecton_config = tecton_config
+
+    def expand(self, pcoll):
+        return (
+            pcoll
+            | Reshuffle()
+            | beam.ParDo(_WriteTectonStreamFn(self.url,self.tecton_config))
+        )
+
+class _WriteTectonStreamFn(DoFn):
+    """DoFn for writing to Tecton Stream Ingest API."""
+    def __init__(self, url: str, tecton_config: TectonStreamWriteConfig):
+        """Initialize the DoFn.
+
+        Args:
+            url: URL of the Tecton Stream Ingest API
+            tecton_config: Configuration for writing data to Tecton
+        """
+        self.url = url
+        self.tecton_config = tecton_config
+        self._batch = []
+
+        self._write_requests = Metrics.counter(
+            TECTON_METRICS_NAMESPACE, 'write_requests'
+        )
+        self._write_errors = Metrics.counter(
+            TECTON_METRICS_NAMESPACE, 'write_errors'
+        )
+        self._records_counter = Metrics.counter(
+            TECTON_METRICS_NAMESPACE, 'records_written'
+        )
+
+    def process(self, element: Dict[str, Any]):
+        """Process a single record.
+
+        Args:
+            element: Record to write (should be a dictionary)
+        """
+        self._batch.append(element)
+        if len(self._batch) >= self.tecton_config.batch_size:
+            self._flush()
+
+    def finish_bundle(self):
+        """Flush any remaining records at the end of the bundle."""
+        self._flush()
+
+    def _flush(self):
+        """Flush the current batch to Tecton."""
+        if not self._batch:
+            return
+        try:
+          with _TectonStreamSink(self.url, self.tecton_config) as sink:
+              sink.write(self._batch)
+              self._records_counter.inc(len(self._batch))
+              self._batch = []
+        except Exception as e:
+            self._write_errors.inc(len(self._batch))
+            _LOGGER.error(
+                'Failed to write batch of %d records: %s',
+                len(self._batch), str(e)
+            )
+            raise TectonStreamIngestError(f'Failed to write batch: {e}')
+
+    def display_data(self):
+        result = super().display_data()
+        result["workspace_name"] = self.tecton_config.workspace_name
+        result["stream_source_name"] = self.tecton_config.stream_source_name
+        result["batch_size"] = self.tecton_config.batch_size
+        result["dry_run"] = self.tecton_config.dry_run
+        return result
+
+
+class _TectonStreamSink:
+    """Internal sink class for Tecton Stream Ingest API."""
+
+    def __init__(self, url: str, tecton_config: TectonStreamWriteConfig):
+        """Initialize the sink.
+
+        Args:
+            url: URL of the Tecton Stream Ingest API
+            tecton_config: Configuration for writing data to Tecton
+        """
+        self.url = url
+        self.tecton_config = tecton_config
+        self._session = None
+
+        self._write_requests = Metrics.counter(
+            TECTON_METRICS_NAMESPACE, 'write_requests'
+        )
+
+    def __enter__(self):
+        """Enter context manager."""
+        self._session = requests.Session()
+        retry_strategy = Retry(
+            total=self.tecton_config.max_retries,
+            backoff_factor=1,
+            status_forcelist=[
+                requests.codes.TOO_MANY_REQUESTS,
+                requests.codes.INTERNAL_SERVER_ERROR,
+                requests.codes.BAD_GATEWAY,
+                requests.codes.SERVICE_UNAVAILABLE,
+                requests.codes.GATEWAY_TIMEOUT
+            ],
+        )
+        adapter = HTTPAdapter(max_retries=retry_strategy)
+        self._session.mount("https://", adapter)
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        self._session.close()
+        self._session = None
+
+    def write(self, batch: List[Dict[str, Any]]):
+        """Write a batch of records to Tecton Stream Ingest API.
+
+        Args:
+            batch: List of records to send
+        """
+        headers = self._build_headers()
+        payload = self._build_payload(batch)
+
+        _LOGGER.debug(
+            'Sending batch of %d records to %s',
+            len(batch), self.url
+        )
+
+        try:
+            response = self._session.post(
+                url=self.url,
+                headers=headers,
+                json=payload,
+                timeout=self.tecton_config.timeout
+            )
+            self._write_requests.inc(1)
+            if response.status_code != requests.codes.OK:
+                req_payload = json.dumps(payload, indent=2)
+                error_msg = f'HTTP {response.status_code}: {response.text}'
+                _LOGGER.error('Tecton Stream Ingest failed: %s', error_msg)
+                _LOGGER.error('Request URL: %s', self.url)
+                _LOGGER.error(f'Request payload: {req_payload}')
+                raise TectonStreamIngestError(error_msg)
+        except RequestException as e:
+            error_msg = f'Request failed: {str(e)}'
+            _LOGGER.error('Tecton Stream Ingest request failed: %s', error_msg)
+            _LOGGER.error('Request URL: %s', self.url)
+            raise TectonStreamIngestError(error_msg)
+
+        _LOGGER.debug(
+            'Successfully sent batch of %d records',
+            len(batch)
+        )
+
+    def _build_headers(self) -> Dict[str, str]:
+        """Build HTTP headers."""
+        return {
+            'Authorization': f'Tecton-key {self.tecton_config.api_key}',
+            'Content-Type': 'application/json',
+            'User-Agent': 'Apache-Beam-TectonIO/1.0'
+        }
+
+    def _build_payload(self, batch: List[Dict[str, Any]]) -> Dict[str, Any]:
+        """Build the Stream Ingest API request payload.
+
+        Args:
+            batch: List of records to include in the payload
+
+        Returns:
+            Dictionary containing the request payload
+        """
+        formatted_records = []
+        for record in batch:
+            formatted_records.append({
+                'record': record
+            })
+
+        return {
+            'workspace_name': self.tecton_config.workspace_name,
+            'dry_run': self.tecton_config.dry_run,
+            'records': {
+                self.tecton_config.stream_source_name: formatted_records
+            }
+        }
+
+class TectonStreamIngestError(Exception):
+    """Exception raised for Tecton Stream Ingest errors."""
+    pass
+