Hi, I’m Charitha Gsenior. I am a senior data engineer with 10+ years of experience building enterprise cloud, big data, and analytics solutions across healthcare, retail, and financial services using AWS, Azure, and GCP. I have designed and delivered end-to-end data platforms, real-time streaming, security governance, and cloud modernization initiatives that enable data-driven decision making across large organizations. I enjoy collaborating with cross-functional teams to architect scalable, secure data solutions, optimize performance, and empower business users with self-service analytics. My focus is on reliable data pipelines, robust governance, and delivering measurable value through insights and operational intelligence across diverse industries.

Charitha Gsenior

Hi, I’m Charitha Gsenior. I am a senior data engineer with 10+ years of experience building enterprise cloud, big data, and analytics solutions across healthcare, retail, and financial services using AWS, Azure, and GCP. I have designed and delivered end-to-end data platforms, real-time streaming, security governance, and cloud modernization initiatives that enable data-driven decision making across large organizations. I enjoy collaborating with cross-functional teams to architect scalable, secure data solutions, optimize performance, and empower business users with self-service analytics. My focus is on reliable data pipelines, robust governance, and delivering measurable value through insights and operational intelligence across diverse industries.

Available to hire

Hi, I’m Charitha Gsenior. I am a senior data engineer with 10+ years of experience building enterprise cloud, big data, and analytics solutions across healthcare, retail, and financial services using AWS, Azure, and GCP. I have designed and delivered end-to-end data platforms, real-time streaming, security governance, and cloud modernization initiatives that enable data-driven decision making across large organizations.

I enjoy collaborating with cross-functional teams to architect scalable, secure data solutions, optimize performance, and empower business users with self-service analytics. My focus is on reliable data pipelines, robust governance, and delivering measurable value through insights and operational intelligence across diverse industries.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Senior Big Data Engineer at Walgreens
August 1, 2024 - November 24, 2025
Led real-time pharmacy and consumer goods inventory pipelines across 9,000+ locations using Apache Kafka, Azure Data Factory, and Azure Databricks; designed multi-layer ELT patterns in Azure Synapse Analytics and Snowflake; built distributed processing engines with Spark, Flink, and ML models for demand forecasting and inventory optimization; implemented secure, containerized analytics workloads and end-to-end governance.
Senior Data Engineer at Huntington
July 1, 2024 - July 1, 2024
Designed and implemented end-to-end AWS fraud detection ecosystem using Apache Kafka, AWS Glue, S3, and Kinesis; built large-scale ETL pipelines with AWS Glue Workflows and Lambda; engineered distributed analytics on AWS EMR (Spark/Scala/Hive/HBase); implemented real-time fraud detection, reconciliation, and governance with data catalogs and security controls.
Data Engineer / Migration Specialist at Great American Insurance
September 1, 2021 - September 1, 2021
Built and operationalized cloud analytics on Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Functions, Dataproc); implemented secure data ingestion, batch and streaming processing, and lineage-enabled data layers; migrated legacy warehouse data to cloud-native architectures and established CI/CD for data pipelines.
ETL Developer at Zoho
December 1, 2015 - December 1, 2015
Designed scalable ETL pipelines using MySQL, PostgreSQL and Java utilities; implemented multi-zone storage, automated backups, and data cleansing/enrichment frameworks; developed metadata-driven ingestion and governance, and migrated data to data warehouses using cloud-based tools.
Data Engineer / Migration Specialist at Home Depot
November 1, 2018 - November 1, 2018
Built a comprehensive Azure-based product data analytics platform (ADLS Gen2, Synapse, Snowflake); implemented multi-domain data processing with Azure Databricks and Delta Lake; enabled real-time and batch ingestion via Kafka and ADF; developed governance, CI/CD pipelines, and ML-ready data catalogs.
Sr. Big Data Engineer at Walgreens
August 1, 2024 - November 24, 2025
Built real-time pharmacy and CPG inventory pipelines using Apache Kafka, Azure Data Factory, and Azure Databricks, enabling instant stock visibility across 9,000+ locations. Designed multi-layer ELT patterns in ADLS/Synapse and Snowflake, integrating SQL systems, APIs, CosmosDB, and Cassandra to ensure high-quality analytics. Implemented streaming pipelines with Spark Streaming, Kafka, and Flink; deployed containerized workloads on AKS. Built supply chain optimization engines with Databricks MLlib and Azure ML for demand forecasting and stockouts prediction. Established end-to-end governance with Azure Key Vault and Ranger policies. Created automated ELT workflows with ADF and Azure Functions, delivering near 70% latency reduction in logistics events. Built dashboards in Power BI and Fabric for inventory, transportation, and store-level analytics. Implemented real-time search capabilities via Solr, Presto, and ADLS-backed query layers; integrated EHR feeds for healthcare interoperabili
Sr Data Engineer at Huntington
July 1, 2024 - July 1, 2024
Designed end-to-end AWS fraud detection ecosystems using Apache Kafka, AWS Glue, S3, and Kinesis; built large-scale ETL pipelines with Glue Workflows and Lambda for nightly financial updates and cross-system data integration. Engineered distributed data workloads on AWS EMR (Spark, Hive) for faster mortgage analytics and regulatory reporting. Built unified fraud detection and behavioral analytics using Spark Streaming, Flink, and Kafka with batch-to-stream processing. Implemented high-performance data warehouses with Redshift and Redshift Spectrum, and secured distributed systems with Ranger. Developed data integration using NiFi for hybrid environments and created ML-driven fraud detection pipelines with SageMaker. Delivered dashboards with QuickSight and Power BI, and automated CI/CD for data platforms. Implemented secure, scalable network topologies and metadata governance with Glue Data Catalog.

Education

Bachelor's in Computer Science at MallaReddy College of Engineering for Women
June 1, 2010 - March 1, 2014
Bachelor’s in Computer Science at MallaReddy College of Engineering for Women
June 1, 2010 - March 1, 2014

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Retail, Financial Services, Software & Internet, Professional Services, Transportation & Logistics, Manufacturing, Media & Entertainment