Senior Data Engineer with 11+ years of experience architecting and optimizing large-scale data platforms and cloud-native analytics solutions. Adept at designing and implementing robust ETL/ELT pipelines that transform complex, high-volume datasets into actionable insights for business stakeholders. Proven track record of driving data-driven decision-making, improving data quality, and mentoring engineering teams to deliver scalable, reliable solutions. Recognized for technical leadership and the ability to align data strategies with organizational goals. Experienced in AWS, Azure, Snowflake, and Databricks for building scalable cloud-native data platforms. Skilled in ETL/ELT design, Spark/Kafka processing, workflow optimization, and enterprise data integration with strong security and governance.

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Senior Data Engineer with 11+ years of experience architecting and optimizing large-scale data platforms and cloud-native analytics solutions. Adept at designing and implementing robust ETL/ELT pipelines that transform complex, high-volume datasets into actionable insights for business stakeholders. Proven track record of driving data-driven decision-making, improving data quality, and mentoring engineering teams to deliver scalable, reliable solutions. Recognized for technical leadership and the ability to align data strategies with organizational goals. Experienced in AWS, Azure, Snowflake, and Databricks for building scalable cloud-native data platforms. Skilled in ETL/ELT design, Spark/Kafka processing, workflow optimization, and enterprise data integration with strong security and governance.

Available to hire

Senior Data Engineer with 11+ years of experience architecting and optimizing large-scale data
platforms and cloud-native analytics solutions. Adept at designing and implementing robust ETL/ELT
pipelines that transform complex, high-volume datasets into actionable insights for business
stakeholders. Proven track record of driving data-driven decision-making, improving data quality, and
mentoring engineering teams to deliver scalable, reliable solutions. Recognized for technical leadership
and the ability to align data strategies with organizational goals.
Experienced in AWS, Azure, Snowflake, and Databricks for building scalable cloud-native data
platforms. Skilled in ETL/ELT design, Spark/Kafka processing, workflow optimization, and enterprise
data integration with strong security and governance.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Senior Data Engineer at Monte Carlo Data
February 1, 2023 - Present
Designed and implemented scalable, cloud-native ETL/ELT pipelines using Apache Airflow, Databricks, and AWS Glue to transform complex, high-volume datasets into actionable insights. Led data governance practices, migrated legacy pipelines to AWS, and improved data quality and reliability for analytics teams.
Data Engineer at JDSAT
November 1, 2017 - July 1, 2019
Led the design of a cross-cloud lakehouse architecture on Delta Lake and Databricks for unified analytics across AWS and Azure. Architected batch and streaming processing, established robust data validation and reconciliation checks, and supported distributed data processing across environments.
Data Pipeline Engineer at Catalyzer
May 1, 2014 - October 1, 2017
Developed data ingestion pipelines using PySpark and SQL for transformation and normalization. Implemented Spark-based processing jobs to handle large-scale analytic workloads and created dimensional data models to support enterprise BI and reporting solutions.

Education

Add your educational history here.

Qualifications

Bachelor of Science in Computer Science
January 11, 2030 - January 8, 2026

Industry Experience

Software & Internet, Computers & Electronics, Professional Services, Media & Entertainment