Sai Varma

About Sai Varma

Senior Data Engineer with 8+ years of experience designing, building, and optimizing large-scale, production-grade data platforms across AWS, GCP, and Azure. I specialize in turning complex, high-volume data into reliable, analytics-ready datasets that teams trust and use.My core expertise lies in Python, PySpark, Apache Spark, SQL, and Airflow, with hands-on experience building ETL/ELT pipelines, batch and near real-time processing frameworks, and modern lakehouse architectures. I’ve led and contributed to enterprise cloud modernization initiatives, including 50+ TB migrations from legacy platforms like Oracle Exadata to BigQuery, Databricks, Redshift, and Snowflake.I’ve worked extensively across telecom and financial services, building data pipelines that power fraud detection, product analytics, regulatory reporting, and executive dashboards. Beyond moving data, I focus heavily on data correctness, performance tuning, cost optimization, and observability, implementing schema enforcement, idempotent processing, SLA-driven orchestration, and proactive data quality checks.Technically, I operate end-to-end across:• Data ingestion & CDC (Kafka, Pub/Sub, DMS, streaming pipelines)• Distributed processing (Spark, PySpark, Dataproc, EMR, Databricks)• Orchestration & automation (Airflow, Composer, MWAA, Python)• Cloud data platforms (AWS, GCP, Azure)• Analytics & modeling (BigQuery, Redshift, Synapse, Snowflake, dbt-style transformations)What sets me apart is my ability to bridge engineering and business, partnering closely with analytics, product, and stakeholder teams to translate requirements into scalable data solutions while keeping platforms stable, cost-efficient, and production-ready.Currently open to Senior Data Engineer / Data Engineer roles where I can own critical data pipelines and help teams make better decisions using trustworthy data.

Experience

1. Senior Data Engineer

   Verizon

   Nov 2025 — Present · Irving, TX, US

   Designed and implemented large-scale data pipelines using PySpark and Spark SQL on GCP Dataproc for telecom data processing. • Successfully migrated enterprise datasets from Oracle Exadata to BigQuery and Cloud Storage utilizing Python and SQL frameworks. • Developed reusable transformation frameworks with schema enforcement and validation to enhance data integrity.

Education

• Indian Institute of Technology (Indian School of Mines), Dhanbad

  Bachelor of Technology - BTech

• Lewis University

  Master of Business Administration - MBA, Business Administration and Management