Shailesh Jagtap

Results-driven Data Engineer with 5+ years of experience in designing and optimizing scalable cloud data engineering solutions, ETL/ELT pipelines, and modern data platforms for enterprise analytics. Strong expertise in AWS (Glue, S3, DMS, Redshift, Athena, Lambda) for building end-to-end data pipelines and migration solutions. Skilled in PySpark, Databricks, Spark, and SQL for large-scale data processing, transformation, and optimization Experienced in implementing Data Lake and Data Warehouse architectures using Medallion Architecture (Bronze, Silver, Gold). Proficient in Apache Airflow for orchestration and dbt for modular transformations. Strong knowledge of Snowflake, Python, and data quality validation. Adept at optimizing ETL workflows, improving query performance, and ensuring data accuracy, scalability, and reliability. Experienced in Agile environments using Jira and GitHub. Passionate about building secure, cost-efficient cloud data solutions for data-driven decision-making