Sushnith Vaidya

About Sushnith Vaidya

That\'s what I engineer.I\'m Sushnith, a Data Engineer with 5+ years of experience building cloud-native data pipelines, enterprise-grade ETL/ELT workflows, and scalable data architectures across Azure, AWS, and GCP. I\'ve worked at Wipro and CVS Health — designing systems that make data reliable, accessible, and analytics-ready at enterprise scale, I architect and maintain large-scale pipelines across Azure and GCP supporting clinical, financial, and operational analytics. My Alteryx and SSIS workflows process ~150GB of data daily, my automation initiatives reduced manual effort by 40%, and my SQL optimizations improved query performance by 25% while boosting overall pipeline reliability by 30%. I\'ve led Teradata-to-BigQuery migrations, built real-time Kafka streaming pipelines, implemented governance frameworks using Great Expectations, Monte Carlo, and OpenLineage, and built AI-ready datasets for predictive and generative models — all under HIPAA and SOC2 compliance standards, I engineered large-scale batch and incremental pipelines using Azure Data Factory, Databricks, AWS Glue, PySpark, and SQL — ingesting 250–300GB of structured and semi-structured data daily from LIMS, MES, and EHR systems. I designed dimensional models and data marts in Snowflake and Azure SQL, improved query performance by 20% through partitioning and Parquet strategies, and implemented RBAC, encryption, and schema drift monitoring to meet HIPAA and GxP compliance requirements: Cloud: Azure (ADF, Synapse, Data Lake), AWS (Glue, Redshift, S3, EMR), GCP (BigQuery, Dataflow) Big Data: Apache Spark, Hadoop, MapReduce, HDFS, Hive, Kafka, Airflow Languages: Python, Scala, R, SQL, Java Warehousing: Snowflake, BigQuery, Azure SQL, Amazon Redshift Visualization: Qlik Sense, Qlik View, Power BI, Tableau, Excel Tools: Git, Jira, Great Expectations, Confluence M.S. Business Analytics — University of Findlay Findlay, Ohio | Open to relocation | Available immediately.Feel free to message me directly — let\'s connect. Reach me at: s••••••••@gmail.com

Experience

1. Data Engineer

   CVS Health

   May 2024 — Present

   Designed and maintained large-scale, cloud-native data pipelines across Azure and GCP to support clinical, financial, and operational analytics.• Built automated ETL and ELT workflows using Python, PySpark, SQL, Airflow, Kafka, dbt, and Dataflow to enable scalable and reliable data processing.• Developed real-time and batch ingestion pipelines using Kafka streaming, schema registry, CDC, dynamic partitioning, and orchestration frameworks.• Architected data modeling and warehousing layers in BigQuery, Azure Synapse, and PostgreSQL using dimensional modeling, Data Vault, and federated ELT.• Led the migration of Teradata workloads to BigQuery, creating optimized pipelines that improved performance and enabled faster enterprise analytics.• Built AI-ready datasets using Dask, Hugging Face, feature engineering, dataset versioning, and scalable preprocessing workflows for predictive and generative models.• Implemented enterprise-wide data governance, quality, and observability frameworks using Great Expectations, Monte Carlo, and OpenLineage.• Automated validation, anomaly detection, lineage tracking, metadata management, and schema enforcement to support HIPAA, SOC2, and internal compliance.• Created KPI-driven dashboards and analytical reporting assets using Power BI and Tableau for leadership, clinical teams, finance, and operations.• Integrated Rx, pharmacy, and HealthHUB operational datasets using Spark, Airflow, BigQuery, CDC-based loads, and incremental processing to support real-time insights.• Optimized financial claims and reimbursement data pipelines using SQL, Python, Kafka, Dataflow, and MLflow to enable near real-time analytics and predictive modeling.• Collaborated with cross-functional teams including Data Governance, Clinical Analytics, Finance, Platform Engineering, and Operations to deliver scalable data solutions.

Education

• The University of Findlay

  Master's degree, Business Analytics and Management

• Osmania University, Hyderabad

  Bachelor of Commerce - BCom, Computer Science