Hi there! I’m a Certified Azure Data Engineer with over 3.6 years of experience in building data pipelines and helping businesses make better decisions through data. I work with tools Azure Data Factory, Databricks, and Snowflake to create efficient ETL workflows that ensure data is clean, organized, and ready for analysis. I’m certified as an Azure Data Engineer Associate (DP-203) and a Power BI Data Analyst Associate. I’ve worked on exciting projects like migrating data to the cloud, building real-time analytics systems, and improving data processing speed for better insights. I enjoy solving tough data problems, collaborating with teams, and using technologies Azure, AWS, Python, SQL, PySpark and Power BI to make the most out of data. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 ● 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 → Python, SQL, PySpark ● 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 → Azure (Data Factory, Databricks, Synapse, Blob Storage, Data Lake, Azure DevOps), AWS (S3, Lambda, EC2, Glue, EMR) ● 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 → Data Modeling, ETL/ELT Processes, Data Warehousing, Data Pipeline Optimization, Data Cleaning, Data Governance, Data Integration ● 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 → Power BI, Qlik Sense Let’s connect if you’d like to chat about data engineering, cloud tech, or anything data-related.