Data Engineer looking to upskill
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Automotive Design Engineer with ∼2 years of experience in automotive component design and seating system development. Experienced in cladding design, seating assemblies, BOM structuring, and engineering drawing release. Proficient in CATIA V5, UGNX, AutoCAD, and Teamcenter with knowledge of ECE regulations, packaging, and manufacturing feasibility.
Designed and developed scalable ETL/ELT pipelines using Azure Data Factory, Databricks, PySpark, and Azure Data Lake to process enterprise data from multiple business sources. Built reusable metadata-driven ingestion frameworks using parameterized pipelines, validation rules, and checkpointing mechanisms, reducing onboarding effort for new data sources by approximately 50%. Developed and optimized PySpark transformations on Databricks, leveraging Delta Lake features such as partitioning, caching, and optimization techniques to improve processing performance by up to 40%.
Designed dimensional data models and analytics-ready datasets supporting business intelligence and operational reporting initiatives. Tuned complex SQL queries, implemented optimization strategies, and improved data processing efficiency, reducing query execution times by approximately 35%. Automated workflow scheduling and dependency management using Apache Airflow and Azure Data Factory, ensuring reliable execution of data pipelines.
Implemented secure data access using Azure Key Vault, RBAC, and audit logging to support enterprise security and governance requirements. Built CI/CD pipelines using Azure DevOps for automated deployment of data pipelines, notebooks, and database objects across development and production environments. Collaborated with analysts, business stakeholders, and data consumers to gather requirements and translate business needs into scalable technical solutions.
Participated in Snowflake proof-of-concept initiatives involving warehouse design, data loading strategies, and performance optimization. Mentored junior team members on SQL best practices, data validation methodologies, and pipeline development standards.
B.Tech in Mechanical Engineering – Pimpri Chinchwad College of Engineering (2020 – 2024)
