Aviral Shukla

About Aviral Shukla

Data Engineer experience designing, building, and supporting scalable data pipelines across AWS and Azure cloud platforms. I specialize in turning raw, complex data into reliable, production-grade data assets that power analytics and decision-making.Currently working as a Consultant – Data Engineer at Deloitte South Asia, I own end-to-end data engineering workflows from source-to-target mappings and PySpark transformations to CDC implementation, data validation, and production deployments. I’ve worked extensively with Iceberg-based data lakes, AWS Glue, Lambda, CloudWatch, Athena, and Databricks, ensuring high data quality, performance, and operational stability in both Day 0 and BAU runs.Previously at LTIMindtree, I delivered cloud-based ETL solutions using ADF, Databricks, Snowflake, and Teradata, optimized SQL-heavy workloads, and built Python-driven automation for monitoring and reporting. Across roles, I’ve consistently collaborated with cross-functional teams, supported production systems, and improved data workflows through performance tuning and architectural simplification.Backed by a B.Tech in Computer Science and an MBA in Data Science, along with certifications in Snowflake, AWS, Power BI and DBT, I bring a balanced mix of strong engineering fundamentals, business understanding, and execution mindset.I’m passionate about building scalable data platforms, solving real-world data problems and continuously improving how data is engineered, governed and consumed.

Experience

1. Consultant - Aws Data Engineer

   Deloitte

   Aug 2025 — Present · Gurugram, IN

Education

• Amity University Online

  Master of Business Administration - MBA, Data Science

• University of Petroleum and Energy Studies

  Bachelor of Technology, Computational Science

• UPES

  Bachelor of Technology - BTech, Computer Science

  2018 — 2022

• Amity University

  Master of Business Administration, Data Science