Bengaluru, Karnataka, India
I am a Certified Azure Data Engineer with 3+ years of experience at Infosys, specializing in building scalable cloud-based data solutions. Key Highlights: ➤ Azure Data Engineer with hands-on experience in enterprise data platforms ➤ Designed and orchestrated ETL/ELT pipelines using Azure Data Factory & Databricks ➤ Worked with Azure Data Lake for large-scale data storage and processing ➤ Strong experience in SQL, Python, and Hadoop administration ➤ Built interactive Power BI dashboards using DAX and Power Query ➤ Implemented Star & Snowflake data models for analytics and reporting ➤ Supported business intelligence and data-driven decision making Certifications: ➤ Databricks Certified Data Engineer Associate ➤ Google Cloud Certified Professional Data Engineer ➤ Google Cloud Certified Professional Architect Currently open to opportunities in: ➤ Azure Data Engineer ➤ Databricks Engineer ➤ Cloud Data Engineer
Designed and developed end-to-end ETL/ELT pipelines using Azure Data Factory (ADF). ➤ Built scalable data processing solutions using Azure Databricks, PySpark, and Spark SQL. ➤ Ingested data from multiple sources, including databases, APIs, and flat files, into Azure Data Lake Storage (ADLS Gen2). ➤ Developed and optimized data transformation workflows to improve performance and reliability. ➤ Created and maintained analytical datasets in Azure Synapse Analytics to support reporting and business intelligence needs. ➤ Implemented data quality checks, monitoring, and error-handling mechanisms to ensure accurate and reliable data processing. ➤ Collaborated with business stakeholders and cross-functional teams to gather requirements and deliver data-driven solutions.
➤ Designed and maintained data pipelines using Azure Data Factory and Databricks ➤ Worked on Hadoop administration for large-scale data processing ➤ Developed and optimized SQL queries for data transformation and reporting ➤ Built and maintained Power BI dashboards for business stakeholders ➤ Supported cloud-based analytics and BI solutions ➤ Collaborated with cross-functional teams to deliver data-driven insights
➤ Assisted in SQL Server data analysis and reporting ➤ Supported Power BI dashboard development and validation ➤ Gained hands-on experience with enterprise data systems ➤ Worked closely with senior engineers on data projects
➤ Trained on Unix fundamentals including file systems, permissions, and shell commands ➤ Hands-on training in Python for data processing, scripting, and basic automation ➤ Worked with MS SQL Server for querying, data extraction, and basic database operations ➤ Developed and executed SQL queries using SELECT, JOIN, GROUP BY, and subqueries ➤ Assisted in data validation, analysis, and reporting activities ➤ Gained exposure to enterprise data environments and software development practices