I have consistently built robust data pipelines that transformed raw data into actionable insights, demonstrating deep mastery of ETL/ELT processes and data-warehousing architecture. I have leveraged modern cloud platforms (AWS, GCP, or Azure) and big-data frameworks (e.g., Spark, Kafka) to scale infrastructure and reduce processing times, showing your ability to work at enterprise level. I have designed high-performance, well-modeled data schemas (star/snowflake, lakehouse) that improved query efficiency and supported downstream analytics—highlighting strategic thinking around data structure. I believe it's not just to write code—it is about communicated complex data-engineering technicalities to business stakeholders and collaborated cross-functionally, bridging the gap between engineering and value. I have implemented automation, monitoring, and governance around your data workflows—minimizing operational risk and ensuring data quality, compliance and resilience.

Priya Annaram

I have consistently built robust data pipelines that transformed raw data into actionable insights, demonstrating deep mastery of ETL/ELT processes and data-warehousing architecture. I have leveraged modern cloud platforms (AWS, GCP, or Azure) and big-data frameworks (e.g., Spark, Kafka) to scale infrastructure and reduce processing times, showing your ability to work at enterprise level. I have designed high-performance, well-modeled data schemas (star/snowflake, lakehouse) that improved query efficiency and supported downstream analytics—highlighting strategic thinking around data structure. I believe it's not just to write code—it is about communicated complex data-engineering technicalities to business stakeholders and collaborated cross-functionally, bridging the gap between engineering and value. I have implemented automation, monitoring, and governance around your data workflows—minimizing operational risk and ensuring data quality, compliance and resilience.

Available to hire

I have consistently built robust data pipelines that transformed raw data into actionable insights, demonstrating deep mastery of ETL/ELT processes and data-warehousing architecture.

I have leveraged modern cloud platforms (AWS, GCP, or Azure) and big-data frameworks (e.g., Spark, Kafka) to scale infrastructure and reduce processing times, showing your ability to work at enterprise level.

I have designed high-performance, well-modeled data schemas (star/snowflake, lakehouse) that improved query efficiency and supported downstream analytics—highlighting strategic thinking around data structure.

I believe it’s not just to write code—it is about communicated complex data-engineering technicalities to business stakeholders and collaborated cross-functionally, bridging the gap between engineering and value.

I have implemented automation, monitoring, and governance around your data workflows—minimizing operational risk and ensuring data quality, compliance and resilience.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

Data Engineer at Morgan Stanley
June 1, 2025 - October 24, 2025
Built scalable distributed data solutions using Hadoop, Spark, and Kafka; designed ETL pipelines and real-time data processing; optimized Spark jobs and leveraged Airflow for workflow orchestration; implemented data ingestion, processing and analytics across HDFS, Hive, and Spark ecosystems.
Hadoop Engineer at Questrade Financial Group
January 1, 2023 - October 24, 2025
Integrated Hadoop ecosystem into traditional ETL, built data pipelines and data lakes on HDFS; developed PySpark processing scripts; created Hive tables and BI outputs; set up Oozie workflows and managed data governance for reporting.
Spark Developer at Canadian Tire
November 1, 2021 - October 24, 2025
Developed high-performance Spark pipelines and Spark SQL workloads for large-scale data processing; implemented data pipelines in Scala and Python; supported real-time analytics and ML workflows with Spark MLlib; built data lake architecture on AWS S3 and managed metadata for Spark jobs.

Education

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Qualifications

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Industry Experience

Software & Internet, Financial Services, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert