Tirth Shah

Background

About Tirth Shah

Data Engineer specializing in scalable data pipelines, cloud analytics, and ETL optimization for Fortune 500 firms. At JPMorgan Chase, I design high-volume data architectures using Spark, Airflow, and Databricks to power financial analytics. At Deloitte, I built privacy-compliant pipelines for Meta’s Instagram. My expertise lies in transforming raw data into actionable insights—whether through Hadoop migrations, real-time workflows, or cloud deployments. What I Bring to the Table: Cloud & Big Data: Certified in AWS, Azure, and Databricks, with hands-on experience in GCP, Spark (Scala/Python), and Hive. End-to-End Pipelines: Designed 50+ Airflow DAGs (JPMC) and migrated legacy ETL systems to Azure Data Lake (TCS), cutting costs by 30%. Data Governance: Developed privacy-aware data models (Meta/Deloitte) and automated compliance reporting. Collaboration: Partner with cross-functional teams to align engineering solutions with business goals. Open to roles in Senior Data Engineering, Cloud Architecture, or Analytics Infrastructure. Let’s connect if you’re passionate about data innovation, AI/ML pipelines, or just geeking out over distributed systems!