Data Engineer j Analytics Engineer j Power BI Developer

– Designed end-to-end data architecture including Data Lake, transformation layer, and Data Warehouse for analytics use cases. – Built and orchestrated ADF pipelines to ingest data from APIs, databases, and files into Azure Data Lake with scheduling and monitoring. – Implemented data transformation using Databricks and PySpark, applying cleansing, deduplication, and business logic at scale. – Developed Bronze-Silver-Gold architecture and loaded curated datasets into Azure Synapse and Snowflake with star schema modeling. – Developed Power BI dashboards with optimized data models, DAX measures, and RLS to deliver actionable insights. – Improved pipeline and report performance using partitioning, caching, and SQL query optimization techniques. – Collaborated with stakeholders for requirement gathering, data validation, and ensuring data quality across reports.

– Developed end-to-end Power BI solutions by integrating data from SQL Server systems. – Built ETL pipelines using SQL and Power BI Dataflows to automate data preparation and reporting workflows. – Designed optimized data models with relationships, calculated columns, and DAX measures for performance. – Implemented incremental refresh and RLS to enhance report efficiency and data security. – Performed data analysis including trend identification and anomaly detection to support business decisions.

– Built and maintained data pipelines using SQL and Python to integrate data from multiple systems into centralized models. – Designed scalable data models and semantic layers to support enterprise reporting and analytics. – Developed Power BI dashboards with advanced DAX, improving performance and user experience. – Performed data transformation and preprocessing to enable accurate and consistent analytics. – Implemented governance practices including RLS, access control, and reporting standardization. – Collaborated with cross-functional teams to align data solutions with business KPIs.

– Developed dashboards for SLA tracking, incident monitoring, and operational reporting. – Performed SQL-based data analysis to investigate issues and identify data inconsistencies. – Analyzed historical data to identify trends and improve reporting accuracy and system reliability. – Worked with engineering teams to resolve data issues and enhance data quality processes.

– Developed SQL datasets and Power BI dashboards to monitor airport operations and flight performance. – Enabled near real-time reporting using Power BI Gateway and automated refresh mechanisms. – Supported performance and compliance reporting aligned with operational KPIs.