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Senior Data Engineer with 10+ years of experience designing and building scalable, production-grade data platforms across banking, healthcare, insurance, and financial services. I specialize in cloud-native data engineering on Azure Databricks and Snowflake, building batch and real-time pipelines with PySpark, Delta Lake, Kafka, and Airflow, and have deep, hands-on SQL performance-tuning expertise. At Huntington National Bank I engineer a Lakehouse platform processing 8TB+ of data daily, supporting fraud analytics, risk, and regulatory reporting, with feature engineering pipelines feeding 30+ ML models. I bring strong experience in Medallion architecture, data governance (Unity Catalog), data quality and observability frameworks, and CI/CD. I work fluently across Azure, AWS, and GCP, and I'm equally comfortable owning pipelines end-to-end or partnering with data science and business teams to turn complex requirements into reliable, analytics-ready data solutions.…Senior Data Engineer with 10+ years of experience designing and building scalable, production-grade data platforms across banking, healthcare, insurance, and financial services. I specialize in cloud-native data engineering on Azure Databricks and Snowflake, building batch and real-time pipelines with PySpark, Delta Lake, Kafka, and Airflow, and have deep, hands-on SQL performance-tuning expertise. At Huntington National Bank I engineer a Lakehouse platform processing 8TB+ of data daily, supporting fraud analytics, risk, and regulatory reporting, with feature engineering pipelines feeding 30+ ML models. I bring strong experience in Medallion architecture, data governance (Unity Catalog), data quality and observability frameworks, and CI/CD. I work fluently across Azure, AWS, and GCP, and I'm equally comfortable owning pipelines end-to-end or partnering with data science and business teams to turn complex requirements into reliable, analytics-ready data solutions.

Ashwanth

Data Scientist, Full Stack Developer, AI Developer, +2

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Senior Data Engineer with 10+ years of experience designing and building scalable, production-grade data platforms across banking, healthcare, insurance, and financial services. I specialize in cloud-native data engineering on Azure Databricks and Snowflake, building batch and real-time pipelines with PySpark, Delta Lake, Kafka, and Airflow, and have deep, hands-on SQL performance-tuning expertise. At Huntington National Bank I engineer a Lakehouse platform processing 8TB+ of data daily, supporting fraud analytics, risk, and regulatory reporting, with feature engineering pipelines feeding 30+ ML models. I bring strong experience in Medallion architecture, data governance (Unity Catalog), data quality and observability frameworks, and CI/CD. I work fluently across Azure, AWS, and GCP, and I'm equally comfortable owning pipelines end-to-end or partnering with data science and business teams to turn complex requirements into reliable, analytics-ready data solutions.…Senior Data Engineer with 10+ years of experience designing and building scalable, production-grade data platforms across banking, healthcare, insurance, and financial services. I specialize in cloud-native data engineering on Azure Databricks and Snowflake, building batch and real-time pipelines with PySpark, Delta Lake, Kafka, and Airflow, and have deep, hands-on SQL performance-tuning expertise. At Huntington National Bank I engineer a Lakehouse platform processing 8TB+ of data daily, supporting fraud analytics, risk, and regulatory reporting, with feature engineering pipelines feeding 30+ ML models. I bring strong experience in Medallion architecture, data governance (Unity Catalog), data quality and observability frameworks, and CI/CD. I work fluently across Azure, AWS, and GCP, and I'm equally comfortable owning pipelines end-to-end or partnering with data science and business teams to turn complex requirements into reliable, analytics-ready data solutions.

Available to hire

Senior Data Engineer with 10+ years of experience designing and building scalable, production-grade data platforms across banking, healthcare, insurance, and financial services. I specialize in cloud-native data engineering on Azure Databricks and Snowflake, building batch and real-time pipelines with PySpark, Delta Lake, Kafka, and Airflow, and have deep, hands-on SQL performance-tuning expertise. At Huntington National Bank I engineer a Lakehouse platform processing 8TB+ of data daily, supporting fraud analytics, risk, and regulatory reporting, with feature engineering pipelines feeding 30+ ML models. I bring strong experience in Medallion architecture, data governance (Unity Catalog), data quality and observability frameworks, and CI/CD. I work fluently across Azure, AWS, and GCP, and I’m equally comfortable owning pipelines end-to-end or partnering with data science and business teams to turn complex requirements into reliable, analytics-ready data solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior Data Engineer (AI/ML Data Platforms) at Huntington National Bank

December 1, 2023 - Present

Engineered a cloud-native AI-ready data platform on Snowflake and Databricks supporting Fraud Analytics, Risk Management, Customer Intelligence, Treasury Operations, and Regulatory Reporting workloads processing over 8TB of data daily. Designed scalable feature engineering pipelines using PySpark, Delta Lake, and Snowflake to serve 30+ predictive models. Implemented real-time ingestion with Apache Kafka, Spark Structured Streaming, and Delta Live Tables; established high-availability, fault-tolerant transformations with automated retries and checkpointing. Built metadata-driven ingestion accelerators, AI governance for LLM-powered applications, AI observability dashboards, semantic chunking and vector indexing for RAG pipelines, and enterprise-grade knowledge retrieval with Azure OpenAI, LangChain, and Pinecone. Extended platform interoperability across AWS and GCP, and enforced Unity Catalog governance and data lineage.

Senior Data Engineer at State Of Ohio

August 1, 2021 - November 1, 2023

Developed HIPAA-compliant healthcare data platforms integrating patient, provider, claims, pharmacy, laboratory, and clinical data into Azure Lakehouse environments. Built ingestion frameworks with Azure Data Factory handling millions of health records, and transformed data in Azure Databricks. Created longitudinal patient data models and NLP preprocessing pipelines for clinical notes, enabling predictive healthcare analytics. Implemented metadata-driven ETL, governance, and data lineage, and delivered Azure Synapse reporting datasets for executives. Optimized Spark workloads and implemented secure access controls and encryption to protect sensitive data.

Data Engineer at Truist Financial

April 1, 2019 - July 1, 2021

Developed enterprise claims analytics platforms supporting underwriting, fraud detection, actuarial reporting, and risk management. Built scalable Spark-based ETL pipelines for large policyholder and claims datasets, implemented Snowflake data warehouse consolidating multiple sources, and created predictive analytics datasets for fraud detection and risk scoring. Designed dimensional models for actuarial analysis and customer retention analytics. Automated data validation, reconciliations, metadata-driven ingestion, and migration of legacy platforms to Snowflake-based cloud architectures.

Big Data Engineer at Ceequence Technologies

March 1, 2017 - December 1, 2018

Developed Hadoop-based data processing pipelines for customer behavior analytics, personalization, and marketing analytics. Built Hive and Spark transformations for sales, inventory, and customer insights, integrating POS, inventory, logistics, product catalog, and customer data into centralized reporting repositories. Implemented Sqoop-based ingestion, automated ETL workflows, and optimized Hive queries and Spark transformations to reduce processing times. Delivered operational dashboards and reusable data transformation components; prepared for cloud modernization.

ETL Developer / Data Analyst at Avon Technologies Pvt Ltd

May 1, 2016 - February 1, 2017

Developed ETL processes integrating customer, billing, revenue, and operations data from multiple systems. Built SQL-based reporting, created stored procedures and views, and automated reconciliation for data accuracy. Wrote Unix shell scripts for data extraction, transformation, validation, and loading. Supported data warehouse loading procedures, KPI reporting, source-to-target mapping, and data quality checks; contributed to early Hadoop ingestion initiatives and collaborative analytics delivery.