Akhilesh Gangwar

Results-driven Data Engineer with over 3 YOE in designing and optimizing scalable data pipelines and analytics solutions on Microsoft Azure. Skilled in Azure Data Factory, Azure Databricks, SQL, Python, and Power BI, with hands-on experience in building end-to-end ELT pipelines, data modeling, and dashboard development. Proficient in handling large-scale structured data, implementing data quality checks, and improving data processing performance. Experienced in working with cross-functional teams to translate business requirements into data-driven solutions. Strong understanding of cloud architecture, data warehousing, and modern data engineering practices. Passionate about leveraging data to drive business insights and continuously learning new technologies in the data domain.

Worked with Azure Indexer in Azure AI Services to extract, enrich and index data from Azure Blob Storage. Completed various workshops and training programs on data analytic and Microsoft Fabric.

Integrating OCR models into the software products and services to provide seamless and accurate text extraction. Worked with PostgreSQL for relational data handling and query optimization in development environments. Analyzing meter data to identify patterns, anomalies and trends that can provide valuable insights into electricity consumption, meter performance and customer behavior. Ensuring high-quality data inputs, removing errors, training and testing OCR models to achieve accurate text recognition results.

Analyzed and organized raw data, prepossessed & removal of the unwanted features from the raw data using python. Developed and maintained datasets improve data quality and efficiency.