Nandish Bhagat
Data Engineer @Deloitte | Cloud Data Platforms | Azure • Databricks • Airflow | Distributed ETL/ELT Systems
- Role
- Data Engineer at Deloitte
- Location
- Chicago, IL, US
- LinkedIn followers
- 500 followers
About Nandish Bhagat
I\'m a Data Engineer with 4+ years of experience designing, building, and optimizing cloud based data solution across Azure. I specialize in scalable ETL/ELT pipelines, workflow orchestration, and production grade data reliability for analytics and business-critical systems.At Deloitte, I\'ve built 25+ Azure Data Factory pipelines, optimized 100+ SQL queries (driving 60% performance improvements) and orchestrated 30+ Databricks and Airflow workflows in production. I\'ve also strengthened reliability for 100+ critical healthcare workflows by implementing automated data quality checks, monitoring, and CI/CD-driven deployments.My background as Data Analyst and Healthcare Data Analyst give me a strong foundation in SQL, Python, Data Modeling and BI – allowing me to collaborate efficiently with cross-functional team and bridge the gap between engineering and business outcomes.Course Skills:Azure (ADF, ADLS, Databricks, Functions)| Apache Airflow | SQL | Python | PySpark | ETL/ELT Pipelines | Data Modeling | CI/CD | APIs | Azure DevOps | Git | Power BII\'m passionate about building reliable high-performance data platforms, improving system scalability, and creating data pipeline thatenable faster, better decision-making across organizations.Open to connecting on Data Engineering, Azure, Databricks, and Cloud Data roles.
Experience
Data Engineer
May 2024 — Present · NJ, US
Designed and delivered 25+ Azure Data Factory pipelines using ADF, Databricks, APIs and Azure Functions to ingest and transform EPIC healthcare data at scale.• Optimized 100+ SQL queries in Starburst and SQL Server by improving query logic and indexing, achieving 60% faster performance for reporting and downstream systems.• Orchestrated 30+ production workflows with Apache Airflow (Astro) and Databricks notebooks, improving pipeline reliability and reducing manual intervention.• Implemented automated data quality checks, monitoring, and alerting across 100+ critical workflows, improving SLA adherence and overall data reliability.• Modernized legacy SSIS pipelines by migrating them to ADF and Databricks, reducing technical debt and improving scalability and maintainability.
Education
Illinois Institute of Technology
Master of Science - MS, Computer Science
Gujarat Technological University (GTU)
Bachelor's degree, Computer Engineering
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