Ravi Chennupati
Senior Data Engineer | Databricks, PySpark, SQL | AWS, Azure, GCP | ETL & Data Pipelines | Immediate Joiner
- Role
- Senior Data Engineer at Fidelity Investments
- Location
- Chicago, IL, US
- LinkedIn followers
- 500 followers
About Ravi Chennupati
I’m a Senior Data Engineer with 5+ years of experience building scalable data pipelines and cloud-based data platforms across finance, healthcare, retail, and product analytics.I focus on designing reliable, high-performance data systems that support analytics, reporting, and real-time decision-making.My core expertise includes:• Data Engineering — Databricks, PySpark, SQL, Airflow, ETL pipelines• Cloud Platforms — AWS, Azure, GCP, Snowflake• Big Data — Spark, Kafka, distributed data processing• Data Warehousing — Lakehouse architectures, data modeling, performance tuningAcross roles at Fidelity, Apple, McKesson, and Walmart, I’ve built and optimized large-scale data pipelines, improved data latency, and enabled business teams to make faster, data-driven decisions.I enjoy working on end-to-end data systems from ingestion and transformation to modeling, deployment, and monitoring with a strong focus on scalability, data quality, and governance.I’m currently open to full-time, W2, and C2C opportunities and available to join immediately.If you’re building data platforms or hiring for Data Engineer roles, feel free to connect.
Experience
Senior Data Engineer
Sep 2024 — Present · Chicago, IL, US
Engineered high-throughput data pipelines to ingest, validate, and process market, transaction, and client portfolio data supporting investment research and risk analytics.Developed secure data models and warehouses in Snowflake and AWS Redshift, ensuring strict adherence to FINRA, GDPR, and internal data-governance standards.Built automated reconciliation and quality-control workflows to detect anomalies and maintain data accuracy across pricing, trades, and reference datasets.Partnered with Quant, Risk, and Portfolio Management teams to deliver analytic datasets for portfolio optimization, performance attribution, and forecasting.Modernized legacy ETL frameworks by implementing Airflow orchestration and Spark-based transformations, improving data latency and maintainability.Implemented monitoring, lineage, and audit logging solutions to enhance transparency, compliance, and traceability of financial data flows.
Education
Lovely Professional University
Bachelor's Degree, Computer Science
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