Available to hire
I am Kamaleesha, a data engineer with 10+ years of experience designing, implementing, and optimizing data infrastructures across finance, healthcare, and retail. I specialize in robust ETL pipelines, data modeling, data warehousing, and streaming data solutions, and I thrive on turning complex data into actionable insights.
In my work, I leverage cloud platforms (AWS, Azure), big data tools (Spark, Databricks, Hadoop), and Python and SQL to deliver scalable, secure data solutions. I enjoy mentoring junior engineers and collaborating with stakeholders to drive data-driven decisions.
Skills
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Language
English
Fluent
Work Experience
Data Engineer / Data Modeler at Macy's
November 1, 2022 - PresentBuilt real-time data pipelines using AWS Kinesis and Spark Streaming to minimize latency; batch ETL with AWS Glue to load data into Redshift; serverless ETL with AWS Lambda; automated ETL tasks with Apache Airflow; implemented real-time ingestion from Kafka, Azure Event Hubs, and Kinesis; collaborated with data scientists; optimized Spark applications for streaming workloads; developed QuickSight dashboards; ensured GDPR/HIPAA data security; migrated raw data to Snowflake with DBT; tuned EMR; archived data to Glacier; integrated GitHub with Jenkins for CI/CD; mentored junior engineers.
Data Engineer / Data Modeler at Credit Karma
January 1, 2021 - July 1, 2022Developed ETL pipelines in Azure Data Factory; designed Star Schema dimensional models following Kimball; built Spark clusters on Azure Databricks; managed real-time streaming using Kafka; automated workflows with Bash; dashboards in Looker and Power BI; implemented Slowly Changing Dimensions; integrated ML models into ETL pipelines; monitored streaming pipelines; used Azure Synapse for large-scale data integration; led CI/CD via Azure DevOps and Jenkins; migrated legacy pipelines to serverless AWS architecture; designed event-driven pipelines with S3 triggers and Lambda; ensured data quality and governance.
Data Engineer at Morgan Stanley
September 1, 2020 - December 1, 2021Designed fault-tolerant ETL pipelines with Azure Data Factory and Data Lake Analytics; built PySpark applications for batch and streaming transformations; implemented Kafka-based real-time pipelines; developed and maintained conceptual, logical, and physical data models; optimized Azure SQL Data Warehouse and Synapse queries; managed CI/CD with Jenkins; automated data validation and monitoring; migrated legacy data to Azure Synapse; built dashboards to monitor KPIs; followed TDD and data quality practices; ensured governance and compliance; collaborated across teams to define data requirements; authored metadata and lineage documentation.
Data Analytics Developer at Wipro Pvt Ltd
January 1, 2018 - August 1, 2020Designed and implemented 10+ fault-tolerant ETL pipelines using Azure Data Factory, Blob Storage, Azure Data Lake Storage, Azure SQL Data Warehouse, and Synapse; built Spark applications with PySpark; implemented Kafka for real-time ingestion; developed CI/CD pipelines with Jenkins; performed end-to-end data migration to Azure Synapse; automated Linux-based workflows with Bash; modeled data and maintained BI dashboards with Power BI; gained exposure to multiple Azure services and DevOps practices.
Data Analytics Developer at Amazon
January 1, 2017 - December 1, 2017Developed batch and real-time ETL pipelines using PySpark and AWS Glue; automated archival to Glacier; built real-time ingestion with Kinesis; designed and executed data transformation workflows; created interactive dashboards in QuickSight; scheduled and managed Airflow DAGs; collaborated across teams to integrate data sources; implemented CI/CD with GitHub and Jenkins; supported data governance and lineage.
Education
Qualifications
Microsoft Certified: Azure Data Engineer Associate
January 11, 2030 - January 27, 2026Industry Experience
Financial Services, Healthcare, Retail
Skills
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