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Senior Data Engineer | 6+ Years Experience | PySpark, Snowflake, SQL, ETL/ELT

Actively Looking for Work

Private Information

I am a Data Engineer

I am a Data Engineer with over 6 years of experience designing, developing, and supporting scalable data engineering solutions across enterprise environments. My expertise lies in building reliable ETL/ELT pipelines, distributed data processing, and cloud-based data platforms using technologies such as Python, SQL, PySpark, Snowflake, Airflow, Hadoop, Hive, and dbt.

Throughout my career, I have worked on:

  • Designing analytical data models
  • Optimizing data pipelines
  • Implementing data quality and reconciliation processes
  • Delivering analytics-ready datasets that support business intelligence and data-driven decision-making.

Current Role

In my current role at Comcast FreeWheel, I contribute to Business Monitoring systems that provide near real-time visibility into business performance and data health across multiple services. My responsibilities include:

  • Developing SQL and dbt transformation workflows
  • Optimizing Snowflake-based analytical models
  • Troubleshooting production issues
  • Performing root cause analysis
  • Supporting critical production systems while ensuring data quality and reliability.

I also collaborate closely with engineering, analytics, and business teams to deliver scalable and production-ready data solutions.

Previous Experience

Previously, I worked at Accenture, where I:

  • Designed and implemented PySpark-based ETL pipelines orchestrated using Airflow and Kedro for large-scale manufacturing data platforms.
  • Gained experience in distributed data processing, Spark performance optimization, workflow orchestration, and integrating structured and semi-structured data into enterprise analytics platforms.
  • Earlier in my career, I gained hands-on experience with Hadoop, Hive, HDFS, and batch data processing while supporting healthcare analytics and reporting solutions.

Personal Interests

I enjoy solving complex data engineering challenges, improving pipeline performance, ensuring data quality, and building reliable data platforms that enable organizations to make informed decisions. I am passionate about continuous learning, adopting modern data engineering practices, and contributing to high-performing engineering teams while expanding my expertise in cloud technologies, big data processing, and scalable analytics solutions.

Contact Me

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