ETL(Extract,Transform & Load) and Datawarehouse Expert

I am a seasoned ETL (Extract, Transform & Load) Developer with over 17 years of experience in Data Warehousing, Business Intelligence (BI), ETL development, and cloud technologies. As an Architect at Mphasis Corp, I specialize in Azure-based data solutions, ETL pipeline development, and data migration projects. My expertise has been instrumental in modernizing data processes, optimizing cloud architectures, and enhancing business intelligence capabilities.
With extensive experience in ETL development, Data Warehousing, and Cloud Technologies, I have consistently delivered high-impact solutions that transform data ecosystems. My proficiency in Azure-based data solutions and ETL pipeline optimization has enabled organizations to achieve seamless data integration, high performance, and cost efficiency.
ETL is the foundation of modern data management, and I have played a key role in designing workflows that ensure data accuracy, consistency, and availability. My contributions include:
Developing scalable ETL pipelines to handle structured and unstructured data from diverse sources.
Optimizing data transformation processes using advanced business rules, validation, and cleansing techniques.
Enhancing data quality through integrity checks, lineage tracking, and compliance enforcement.
Improving processing speed with parallel execution, indexing, and performance tuning strategies.
I have led the migration of legacy ETL systems to modern cloud architectures, particularly on Microsoft Azure, helping organizations:
Transition large-scale ETL workloads from on-premises to Azure for scalability and cost efficiency.
Leverage cloud-native tools like Azure Data Factory, Databricks, and Synapse Analytics for optimized data processing.
Implement real-time and batch data integration pipelines for data-driven decision-making.
Optimize data storage and retrieval using Azure Synapse, Snowflake, and Data Lakes for high-performance analytics.
A key strength of mine is optimizing ETL workflows to enhance performance and reduce costs. My strategies include:
Reducing ETL execution time through SQL query tuning, indexing, and partitioning.
Implementing incremental and streaming data loads for efficiency.
Automating ETL workflows to improve operational efficiency.
Optimizing cloud resource utilization for cost-effective storage and computing power.