Sathvika T

Data Engineer with 4+ years of experience leading platform modernization and building cloud-native data engineering on AWS with Python, SQL, and REST APIs. Helped drive an AI gateway rollout, moving developers from GitHub Copilot to Claude through Databricks AI Gateway, and integrates LLMs into data workflows with RAG and AI Functions. Builds the models behind Tableau reporting and supports BI transformation from legacy on-prem reporting to a modern lakehouse.

Data Engineer - Waste Connections, Inc. - The Woodlands, TX

(2025-06)

• Drove platform modernization on a two-person team: moved on-prem SQL Server workloads (close to 700 databases) into a cloud-native lakehouse on AWS and Databricks with config-driven Python ingestion (Glue 5.0, Step Functions, Lambda, DynamoDB).
• Helped drive an AI gateway rollout, mentoring developers moving from GitHub Copilot to Claude through Databricks AI Gateway, and took part in internal AI hackathons.
• Integrated LLMs into data workflows: classified 300K+ records with Databricks AI Functions and RAG, built Genie Agents for finance and operations, and prototyped contract Q&A over a vector database.
• Integrated REST APIs, pulling Lytx fleet events (JSON), images, and video with authentication, retries, and parallel Python processing.
• Supported BI transformation: built star schemas (14 dimensions, 16 facts, 40+ KPI tables) behind Tableau reporting for route, customer, fleet, budgeting, and safety teams.
• Wrote advanced SQL and tuned pipelines to cut processing time by 80% (40 to 8 minutes), and cut prod-to-dev sync latency and cost by about 98% with cross-account S3 Replication.
• Applied governance for finance data: automated PII classification of Workday finance data, role-based access for finance controllers, and 270+ data quality checks.

Data Engineer (Contract) - PepsiCo - Harrison, NY

(2024-11 - 2025-06)

• Contributed to migrating workloads from MySQL to an AWS platform on EMR, EKS, S3, and Snowflake, and built ELT pipelines (S3 to Snowflake to dbt) across 5+ markets.
• Built Power BI dashboards for sales and marketing ROI reporting, and reduced runtime from hours to minutes with Airflow orchestration.
• Built reusable Python components with 80%+ automated test coverage, working with global teams across APAC and AMESA time zones.

Graduate Research Assistant - University of North Texas - Denton, TX

(2023-06 - 2025-02)

• Developed an LLM-assisted framework in Python to detect inconsistencies across user intent, documented requirements, and AI-generated code.

Associate Engineer - Cambridge Technologies Pvt. Ltd. - Hyderabad, India

(2021-06 - 2022-12)

• Built Spark pipelines on Google Cloud Platform for high-volume IoT sensor data and a nutrition study data pipeline in BigQuery with data quality checks, working remotely with a US client.

Master of Science - Advanced Data Analytics - University of North Texas (2024-12)

Bachelor of Technology - Information Technology - J.B. Institute of Engineering and Technology