Chand M

I have 6 years of experience and a proven knowledge of Programming, Data Engineering Concepts, ETL, Data Warehouse and Data virtualization Tools, Machine Learning, DevOps.

• Continuously seek out and identify areas to improve our data engineering practices, our data quality and our processes.
• Create and manage data documentation to provide transparency to users ( ERD, Data Dictionary, Lineage)
• Perform Development and solution design from project inception through to implementation managing resources, timelines and budgets.
• Maintain , Troubleshoot and answer hoc questions regarding current data pipelines.
• Create, enhance and monitor data processes to ensure data data quality and consistency.
• Deploying the data service infrastructure on kubernetes using terraform scripts
• Creating Azure Data Bricks Notebooks based on Business requirements.
• Creating DAX queries for developing the reports and measures in Power BI and deploying it using the Azure Devops, PowerShell Scripts.
• Used Informatica to Collaborate with cross-functional teams to understand data requirements and design and implement data integration solutions. 
• Used Informatica for extracting, transforming, and loading (ETL) data from various sources into target systems, ensuring data accuracy and consistency.
• Creating MLOps application leveraging the Databricks MLFlow.
• Model deployment and serving is created using Databricks MLflow API’s.
• Used PySpark in data bricks, ETL/ELT, big data
• API's used under PySpark or RDD , SQL, structure streaming, ML.
• The sources worked with PySpark diff type of sources like kafka, eventhub, relational database like sql server, oracle.
• NoSQL database like cosmos db, mongo db blob storages like azure blob storage, azure data lake gen2, aws s3, file sources csv, excel, avro, parquet, xml, json.
• Packaging the existing Python code and deploying as libraries into data bricks Filestore folder and automating it using the Git

Bachelor's of Technology