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Ahsan Chaudhary

@ahsanchaudhary

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Senior Data Engineer specializing in cloud-native data platforms, streaming, and analytics-driven solutions.

United States

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What I'm looking for

I seek a technical, growth-oriented role building cloud-native data platforms and real-time pipelines, with strong emphasis on mentorship, governance, and cross-functional collaboration.

I am a Senior Data Engineer with 10 years of experience designing, building, and optimizing high-performance data platforms that power analytics and machine learning. I build scalable ETL/ELL pipelines, lakehouse architectures, and real-time streaming solutions using modern cloud and big data technologies.

Throughout my career I have led cloud migrations, reduced infrastructure costs, and improved query and pipeline performance by implementing Databricks, Snowflake, BigQuery, Kafka, Flink, and Spark-based solutions. I emphasize data quality, governance, automated lineage, and observability to increase trust in data and accelerate model deployment.

I mentor junior engineers and collaborate cross-functionally to align engineering standards with business needs, driving adoption of data platforms and fostering continuous improvement and innovation.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Cloudstream Technologies

Jan 2022 - Present (3 years 9 months)

Designed and maintained scalable data pipelines and lakehouse solutions on Databricks, Snowflake, and BigQuery, improving query performance and cost efficiency and enabling faster ML experimentation. Implemented real-time streaming with Kafka and Flink and led cloud migrations to AWS/GCP, reducing infrastructure overhead.

Apache Spark Airflow DBT Databricks Snowflake BigQuery Kafka Flink AWS GCP)GCP

Big Data Engineer

Datacore Analytics

Mar 2018 - Aug 2021 (3 years 5 months)

Designed and managed petabyte-scale data processing systems using Hadoop, Spark, and Hive and built real-time/batch pipelines with Kafka and Spark Streaming to enable high-throughput ingestion and analytics. Optimized partitioning, indexing, and compression to reduce costs and improve query performance.

Hadoop Spark Hive Kafka AWS S3 HDFS Partitioning Data Governance

Data Engineer

Nexora Insights

Mar 2015 - Feb 2018 (2 years 11 months)

Designed and optimized data pipelines and warehousing solutions to support analytics and ML, integrated models into processing workflows to improve predictive accuracy, and implemented monitoring to enhance data quality and system performance.