Mayur S Pingale

About Mayur S Pingale

I’m a Data Engineer with 3.6+ years of experience designing cloud-scale data pipelines and Lakehouse solutions that power enterprise analytics. I specialize in Databricks, SQL, PySpark, Airflow, and AWS — with a strong focus on performance tuning, ETL orchestration, and automation.At UST, I’ve delivered production-grade healthcare and retail data platforms — modernizing 10+ years of legacy data into scalable Databricks + AWS architectures. I’ve engineered pipelines processing 10M+ records, achieving 40% faster throughput and 80% cost optimization, while implementing CI/CD automation using Airflow and AWS Lambda.My technical foundation spans: Big Data: Databricks, Spark, Delta Lake, Airflow Cloud: AWS (S3, EMR, Lambda, CloudWatch), Azure Programming: Python, SQL, Shell Databases: Aurora, Snowflake, MySQL, PostgreSQL DevOps: Git, Jenkins, Bitbucket, GitHub Actions Certified in Azure Fundamentals (AZ-900), Azure Data Fundamentals (DP-900), and Databricks Lakehouse Fundamentals, I’m passionate about building reliable, cost-efficient, and insight-driven data ecosystems. I hold a B.Tech in Computer Science from MIT World Peace University (2022). Let’s connect if you’re looking for a hands-on engineer who can design, optimize, and automate data pipelines from source to insight. m••••••••@gmail.com| linkedin.com/in/mayur-pingale-52••••17a

Experience

1. Developer Iii - Enterprise Solutions

   UST

   Sep 2025 — Present · Pune, IN

Education

• MIT World Peace University

  Bachelor of Technology - BTech, Computer Engineering

  2018 — 2022