Screening call followed by interview Teams. Interview went for 40 mins. Started with asking my skill and tech stack then current project responsibilities. questions asked on I have worked extensively with **reporting and ETL tools** across different environments. My experience includes working with: * **dbt (Data Build Tool):** Mainly for transformation-focused ELT processes on cloud data warehouses. * **Metallion:** To optimize platforms like **Snowflake, Redshift, and BigQuery**. * **Informatica PowerCenter:** For **advanced data governance** and handling very large datasets in enterprise data warehouses. To optimize ETL/ELT processes, I have implemented various techniques, ensuring better performance and governance. --- ### Example Project: Ford Motors (Data Assessment & Migration) One of the major projects I worked on was with **Ford Motors**, where I was responsible for **data assessment, migration planning, and ETL pipeline development**. **Scope & Responsibilities:** * Analyzed the **SQL Server database schema** and identified critical tables for migration. * Performed **data assessment and migration planning** to move data from SQL Server to Snowflake. * Developed **Azure Data Factory (ADF) pipelines** for batch and streaming data processing. * Handled **deployment, optimization, and version control** for ETL pipelines. * Managed **end-to-end lifecycle**: development, testing, and production deployments. **Key Achievements:** * Successfully migrated **50 TB of data** from SQL Server to Snowflake. * Achieved **30% cost reduction** in storage and compute by optimizing ELT processes. * Improved **query performance by 40%** through optimized **star schema modeling**. --- ### Technical Strengths * Strong experience integrating and implementing ETL on cloud platforms using **SQL and Snowflake**. * Set up **GCP and Snowflake environments** to handle extraction, transformation, and loading of data. * Automated ETL processes using **GCP Cloud Functions**, scheduling, and monitoring. * Advanced SQL skills (self-rated **4 out of 5**). ---

phone interview, followed by a group interview, it was easy but with so many follow-up questions, I was asked questions about the technology I am using as a data engineer as well as trying to know if m familiar with Hadoop, Spark and other big data technologies