Summary
Vighnesh Chavan is a data engineer with 4 years of experience delivering end-to-end data solutions and leading teams across freelance, startup, and mid-size company contexts. He has driven measurable business outcomes—such as a targeted campaign that produced a 15% sales uplift and an 80% improvement in data accuracy—by combining strong analytics with production ETL. Technically fluent across Azure, AWS and GCP, he builds Spark-based pipelines in Databricks/Glue/BigQuery, automates CI/CD with GitHub Actions and Azure DevOps, and containers workloads with Docker. Proficient in Python, SQL, Bash, R and C++, he pairs backend engineering with BI tools like Tableau and Data Studio to turn complex data into actionable insights. Based in Pune and pursuing advanced data science training, he brings a practical, problem-solving mindset and cross-cloud fluency that accelerate moving models and analytics into production.
4 years of coding experience