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Rana Jalil

@ranajalil

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Senior Data Engineer driving scalable, cost‑optimized big data pipelines and cloud data platforms.

United States

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What I'm looking for

I seek senior data engineering roles focused on scalable cloud and streaming architectures, strong governance, mentorship opportunities, and measurable cost/performance impact.

I am a Senior Data Engineer with 11+ years of experience designing, building, and optimizing large-scale data pipelines and architectures across finance, e-commerce, and technology domains. I specialize in cloud migrations, real-time streaming (Kafka, Flink), Snowflake and lakehouse implementations, and delivering cost-optimized, high-performance data solutions.

I have led engineering teams, implemented data governance and compliance (GDPR/CCPA), and mentored junior engineers while establishing CI/CD, testing, and monitoring best practices. My track record includes migrating warehouses to Snowflake (25% cost reduction, 45% performance improvement), building pipelines that process multiple terabytes daily, and improving dashboard performance and query runtimes through optimization.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

NextGen Analytics

Jul 2021 - Present (4 years 3 months)

Designed enterprise-wide Spark and Airflow data pipelines processing 10+ TB daily, migrated legacy warehouse to Snowflake reducing costs 25% and improving performance 45%, and led a team of 6 engineers to implement CI/CD, monitoring, and data governance.

Spark Airflow Python Snowflake Kafka Flink Data Governance CI CD

Big Data Engineer

TechCorp Solutions

Jun 2017 - Jun 2021 (4 years)

Built real-time pipelines with Kafka, Spark Streaming and Kinesis processing 5+ TB daily, migrated on-prem Hadoop to AWS EMR/Dataproc lowering costs 30%, and optimized Spark/Hive jobs to reduce query runtimes by 40%.

Kafka Spark Kinesis Pyspark S3 Hive Performance Optimization

Data Warehouse Engineer

FinTech Global

Jul 2014 - May 2017 (2 years 10 months)

Designed and implemented a Snowflake enterprise data warehouse for 1,000+ users, developed dbt+Airflow ELT pipelines and improved dashboard load times by 60% through query and model optimization.