I am a results-driven Data Engineer with over one year of experience designing and building scalable ETL/ELT pipelines, multi-source data ingestion systems, and cloud-based data workflows. I am proficient in Python, PySpark, SQL, and Apache Airflow for large-scale data processing, transformation, and orchestration. My hands-on experience includes working with Google Cloud services such as BigQuery and GCS, as well as AWS S3 for data lake and warehouse workloads.
I have successfully built automated data pipelines with validation, quality checks, and error handling that have reduced manual processing effort by over 90%. My strong foundation in data warehouse concepts, batch processing, and supply chain analytics has been applied across manufacturing and logistics domains. I am passionate about leveraging data to drive business decisions and improve operational efficiency.
In my current role, I design and develop automated ETL/ELT pipelines using Python, Pandas, and PySpark to extract, transform, and load data from multiple formats into structured data warehouses. I have built multi-source data ingestion systems integrating various file formats and implemented automated data quality checks to improve accuracy and audit readiness.
I also design interactive Power BI dashboards for KPI monitoring and develop Microsoft Power Automate workflows and SharePoint/Teams integrations to automate internal business processes, significantly reducing manual effort in HR and operations. I collaborate closely with supply chain and operations teams to translate business requirements into automated data solutions and dashboard reports.
My projects include designing fully automated batch ETL/ELT pipelines orchestrated by Apache Airflow, building Python-based ETL automation systems for multi-source PO data extraction, and developing internal Microsoft Teams portals for business process automation. Additionally, I have experience in Excel data automation, category-based report generation, and full-stack web application development using Django and React.js.
I am committed to continuous learning and applying innovative data engineering solutions to solve complex business challenges. I thrive in collaborative environments and enjoy contributing to projects that enhance data accessibility and decision-making capabilities.
