Open to opportunities

jay ahmed

@jayahmed

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Lead Data Engineer specializing in healthcare data, cloud, and big data solutions.

United States

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What I'm looking for

I seek senior data engineering roles focused on healthcare or enterprise data platforms, where I can lead cloud-native, scalable pipeline design, improve data quality and governance, and mentor teams while delivering real-time analytics and ML-enabled solutions.

I am a Lead Data Engineer with over 10 years of experience building reliable data systems, with a strong focus on healthcare data management and regulatory compliance such as HIPAA and GDPR.

I design and implement large-scale data architectures and pipelines using big data technologies like Hadoop, Spark, Kafka, and cloud data warehouses such as Snowflake and Amazon Redshift, enabling real-time insights and streamlined data flows.

I lead cross-functional teams to optimize ETL processes, integrate diverse data sources, and incorporate machine learning models into production pipelines to drive predictive analytics and better business decisions.

I emphasize automation, data quality, and scalable cloud infrastructure (AWS, Azure, GCP), and I continuously advance data governance, monitoring, and cost-effective operations to maximize the value of organizational data.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

CareFusion

Feb 2023 - Present (3 years 4 months)

Led design and delivery of large-scale healthcare and financial data platforms, streamlining ETL and cloud architectures to enable real-time analytics and improve data reliability. Implemented HIPAA/GDPR-compliant governance, integrated ML models into pipelines, and reduced pipeline errors through automated validation.

AWS Lambda Glue S3 Snowflake Redshift ETL Data Governance HIPAA Spark Machine Learning Integration Data Automation

Big Data Engineer

RedVentures

Nov 2019 - Jan 2023 (3 years 2 months)

Designed and operated big data solutions using Hadoop, Spark, and Kafka to enable high-volume, low-latency processing and real-time insights. Built cloud data lakes, automated workflows, and delivered dashboards to improve stakeholder decision-making.

Hadoop Spark Kafka AWS S3 Data Lake Apache Airflow Apache NiFi Tableau Power BI

Cloud and ETL Specialist

ViralSquare

Sep 2015 - Oct 2019 (4 years 1 month)

Delivered cloud-based ETL and data integration solutions, migrating on-premise ETL to AWS, Azure, and GCP and optimizing costs and scalability. Automated pipelines, improved data partitioning and query performance, and ensured regulatory compliance for healthcare data.

AWS Glue Azure Data Factory Google Cloud Dataflow Snowflake Redshift ETL Data Migration SQL Tuning