Shweta Tatiya is a Senior Data Engineer with 8 years of experience building and optimizing scalable ETL and big data pipelines across AWS-centric ecosystems. She combines deep hands-on skills in Python, PySpark, Hive, Apache Hudi and MWAA with practical CI/CD and workflow migration experience—having moved Airflow workloads to MWAA and cut operational costs and run times in production. Shweta has driven measurable performance gains (e.g., 20–30% faster jobs and reduced deployment times) while enabling analytics-ready dimensional models for reporting. She also experiments at the intersection of AI and data engineering, integrating AWS Bedrock Claude to generate and validate Text-to-SQL queries for business users. With a Master’s from Northeastern University and cross-border experience across India, the USA and Canada, she pairs technical rigor with mentoring experience that has converted interns into full-time hires.
8 years of coding experience
4 years of employment as a software developer
Master of Science Management Information Systems General, Master of Science Management Information Systems General at Northeastern University
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Savitribai Phule Pune University
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