Sandip Jaishwal

I am a Senior Data Engineer with over seven years building scalable data solutions across AWS, Azure, and GCP, and six years designing Spark pipelines in Scala on AWS EMR. I design both real-time and batch pipelines, enabling robust analytics and ML use cases.

I have delivered data platforms that power Generative AI/LLM solutions using LangChain, RAG pipelines, and MLflow, and I’ve collaborated closely with data science teams to productionize models and feature stores. My work has supported healthcare and finance analytics, compliance reporting, and executive dashboards.

Technically, I build ingestion frameworks with Kafka, Kinesis, NiFi, and Fivetran, implement ETL/ELT with Glue, Airflow, dbt and Spark (Scala/PySpark), and manage cloud infrastructure with Terraform, CloudFormation, and CI/CD pipelines. I also implement data quality frameworks using Great Expectations and Glue DataBrew to ensure reliable data delivery.

I prioritize secure, governed architectures—using IAM, KMS, Lake Formation, Key Vaults, VPC endpoints and compliance with HIPAA/GDPR—while enabling self-service analytics through QuickSight, Looker, and Power BI. I work effectively in Agile teams and focus on measurable improvements in reliability, performance, and data quality.