Results-driven Data Engineer with 5+ years of experience designing and implementing scalable data pipelines and warehousing solutions. Expertise in building ETL processes, optimizing database performance, and developing data infrastructure. Successfully processed 10PB+ of data while reducing processing time by 60%. Strong background in cloud platforms and distributed systems.

Senior Data Engineer

• Lead development of real-time data processing platform handling 5TB+ daily

• Architected data warehouse solution reducing query latency by 75%

• Implemented data quality framework decreasing errors by 90%

• Mentor 3 junior engineers and contribute to technical design decisions

Data Engineer

• Built and maintained ETL pipelines processing 2PB+ of data monthly

• Optimized Spark jobs reducing processing costs by 40%

• Developed automated data validation system

• Collaborated with data science team to implement ML pipelines

Software Engineer

• Developed data ingestion and transformation services

• Improved database performance through query optimization

• Created monitoring dashboards for data pipeline health

• Contributed to open-source data tools and documentation

Master of Science in Computer Science

• Specialization in Data Systems

• Research Assistant in Database Lab

• Published paper on distributed data processing

Bachelor of Science in Computer Engineering

• Magna Cum Laude

• Data Science Club President

• Undergraduate Research in Big Data Analytics

Google Cloud Professional Data Engineer

• Expert level certification in data engineering on GCP.

AWS Certified Data Analytics

• Specialization in big data and analytics solutions.

Databricks Certified Associate Developer

• Expertise in Apache Spark and Delta Lake.

Technical Writer

• Author articles on data engineering best practices

• Reach 50K+ monthly readers with technical content

Speaker

• Present at major data conferences on scalable architectures

• Lead workshops on modern data engineering practices