Sanjeevi Venkatesh

About Sanjeevi Venkatesh

Results-driven Data Analytics Engineer with 3 years of experience in building scalable, high-performance data solutions for enterprise-grade platforms. Proficient in SQL, PL/SQL, Python, and R, with a proven track record in cloud data engineering on AWS and GCP. Hands-on expertise in data modeling, warehouse architecture, and end-to-end ETL pipeline automation.Currently at Virtusa, leading mission-critical projects focused on cloud-native data engineering, delivering robust solutions using Amazon Redshift, AWS Glue, Lambda, S3, Athena, and BigQuery. Designed and implemented a star schema in Redshift, optimized for analytical querying and data scalability. Developed real-time dashboards using R Shiny and Power BI, enabling actionable insights and reducing decision latency by up to 40%.Key accomplishments include:45% boost in SQL performance by eliminating bottlenecks and applying advanced query optimization techniques.60% reduction in manual workflows by implementing automated data pipelines and metadata extraction.Built interactive web applications using Python Shiny and R Shiny for advanced KPI analysis and predictive modeling.Migrated critical datasets to GCP Cloud Storage and BigQuery, enabling low-latency, cloud-native analytics.Strong in data-driven product development, aligning analytical models with business goals, and creating reusable, production-ready data assets. Familiar with CI/CD in data engineering, agile/scrum practices, and cross-functional collaboration with product and engineering teams.Certified in:AWS Certified Data Engineer – AssociateGCP Associate Cloud EngineerOracle SQL Developer – UdemySkilled in:Languages: SQL, PL/SQL, Python, RCloud: AWS (Glue, Redshift, Lambda, EventBridge, S3), GCP (BigQuery, Cloud Storage)Visualization: R Shiny, Power BITools: MySQL Workbench, RStudio, PyCharm, VS Code, ExcelDatabases: Oracle, MySQL, PostgreSQLOS: Ubuntu LinuxTracking Tools: Jira, Project TrackerLooking to contribute to innovative product teams that value data as a core asset, with a focus on automation, reliability, performance, and end-user impact.

Experience

1. Aws Data Engineer

   Deloitte

   Feb 2024 — Present

Education

• Aditya Institute of Technology and Management

  Bachelor of Technology, ECE

  2018 — 2022