Chinchu Thampi
Data Analytics Developer @City of Mississauga
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WORK HISTORY
Data Analytics Developer @City of Mississauga
Mississauga, ON, CA
Design and develop data-driven solutions that transform raw data into meaningful insights for business decision-making. My role bridges the gap between data engineering and business intelligence by building scalable data models, reports, and analytics solutions.Design, develop, and maintain interactive dashboards and reports using tools like Power BI. Build and optimize SQL queries and data models to support analytics and reporting needs.
EDUCATION
SNGC, Kolenchery, Ernakulam
Master of Computer Applications - MCA, Information Technology
Canadore College
PG Diploma in IT Project Management, Information Technology
Rajagiri College of Management & Applied Sciences, Kakkanad, Kochi - 682 039
Bachelor of Computer Applications - BCA, Information Technology
Canadore College
PG Diploma, Human Resources Management and Services
ABOUT CHINCHU THAMPI
Results-driven Azure Data Engineer with 3 years of experience in designing, developing, and optimizing scalable data pipelines and cloud-based data architectures using Microsoft Azure and open-source technologies• Experience in ingesting structured and semi-structured data from diverse sources (on-premises, APIs, cloud storage) using Azure Data Factory, Azure Synapse Pipelines, and Databricks Auto Loader• Skilled in using Azure Data Lake Storage Gen2 for scalable, secure, and hierarchical storage of raw and curated data, optimized for both batch and interactive workloads• Proficient in building and maintaining enterprise-grade data warehouses using Azure Synapse Analytics and Snowflake, including indexing, partitioning, and performance tuning• Hands-on with PySpark on Azure Databricks for distributing big data processing, batch transformations, and implementing Medallion Architecture (Bronze, Silver, Gold layers) for modular workflows• Strong experience integrating data across platforms using Azure Data Factory, Synapse Pipelines, and Linked Services, ensuring seamless connectivity with SQL, REST, Blob, Data Lake, and Snowflake sources• Demonstrated expertise in real-time data streaming and batch processing, achieving a more success rate in seamlessly integrating data from diverse sources• Committed to upholding data quality and governance best practices, ensuring data accuracy, consistency, and regulatory compliance with an adherence rate• Applied data security and governance best practices using Azure Role-Based Access Control (RBAC), Access Control Lists (ACLs), managed identities, and data classification in Purview• Collaborated with cross-functional teams in an Agile environment, participating in sprint planning, daily stand-ups, and retrospectives to deliver incremental data engineering solutions using Azure tools such as ADF, Synapse, and Databricks, ensuring continuous integration and fast-paced delivery• Led and executed multiple end-to-end data migration projects from on-premise systems and legacy warehouses (e.g, SQL Server, Hive) to Azure-based platforms like Azure Data Lake, Synapse Analytics, and Snowflake, ensuring minimal downtime, data integrity, and performance optimization during and after migration
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