Rohit Gaddam
Data Engineer | Power BI Developer | Azure & AWS Data Platforms | Spark, Airflow, Snowflake, BigQuery | ETL/ELT | Data Lakehouse | BI & Analytics Solutions.
- Role
- Data Engineer at Quantum Integrators
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Rohit Gaddam
I am a Results-Oriented Data Engineer and Power BI Developer with about 5 years of experience in designing scalable data platforms and delivering effective business intelligence solutions that turn raw data into valuable insights.I have experience in designing end-to-end data pipelines and analytics solutions using Python, Scala, and SQL for large-scale data ingestion, transformation, and automation. I have a proven record of developing robust ETL/ELT data pipelines using tools such as Apache Spark and Airflow for both real-time and batch processing environments.I have expertise in designing cloud-native data platforms on Azure and AWS, developing scalable data lakehouse solutions and enterprise data warehousing solutions using Snowflake, BigQuery, and traditional RDBMS databases. My experience includes dimensional data modeling (Star and Snowflake Schemas), performance tuning, and designing analytics-ready datasets that facilitate advanced reporting and decision-making.On the analytics front, I develop enterprise-ready dashboards and reporting tools using Power BI, designing complex DAX calculations, Power Query mashes, and robust reporting environments with Row-Level Security (RLS).I also have extensive experience in Big Data stacks, developing with Spark, Hadoop, Kafka, and other distributed data processing engines. My expertise is on data governance, quality, and security, covering data lineage, cataloging, encryption, and data compliance best practices.In addition, I work on DataOps and platform automation, using CI/CD pipelines, Docker, Kubernetes, and Infrastructure as Code (Terraform, CloudFormation) to facilitate the deployment of scalable and automated data infrastructure. I design monitoring and observability platforms with CloudWatch, ELK Stack, Prometheus, Grafana, and Splunk.I also like working with other teams to develop data solutions that address real-world business use cases and enable data-driven decision-making.
Experience
Data Engineer
Mar 2026 — Present · Princeton, NJ, US
Education
Texas Tech University
Master of Science - MS, Computer Science
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