o Integrated data from diverse sources (databases, files, applications, APIs, or third-party services) to build unified data warehouses, enhancing data availability, reporting, and analysis. Utilized Data Factory, Microsoft Fabric, Synapse Analytics, Snowflake, Power Apps (Power Automate), and SharePoint.o Designed and implemented end-to-end data solutions (storage, integration, processing, visualization) in Azure using ETL/ELT processes, Data Flows, SSIS, Databricks, Spark, and Data Lake.o Constructed robust and reliable real-time streaming and batch ingestion pipelines to ingest data into Synapse Analytics and Data Lake. Leveraged Stream Analytics, Azure IoT & Event Hub, Pub/Sub, and Big Query.o Executed SQL tasks T-SQL, Views, Stored Procedures, Agent job, and optimized SQL query performance using SQL Server Management Studio.o Led stakeholder engagement to translate reporting needs into scalable BI solutions and managed BI platform, overseeing data transformation, cleansing, report/dashboard creation, and Implemented row-level security and user access policies using Power BI, DAX/Power Query, SSRS, Looker, and Tableau.o Orchestrated and executed migration tasks to seamlessly transition health, finance, and sales databases and applications to the cloud environment through collaborative efforts. Utilized Microsoft Data Migration Assistance (DMS), Azure App service and third-party tools.o Created CI/CD pipelines (build, release, ARM template, Git action) and managed repositories, boards, artifacts, wikis, sprints, and test plans in Azure DevOps to streamline development processes within organizations.o Collaborated across teams to understand business needs, prioritize tasks, and provide timely solutions, while facilitating knowledge-sharing sessions on data engineering, BI tools, and emerging technologies.

o Implemented ETL processes using Apache Spark and Data Factory to handle diverse data sources, including databases, APIs, and vendors. Automated pipelines were developed, reducing manual tasks by 50% and enhancing overall efficiency while maintaining data integrity.o Led design and optimization of data models with dimensional modeling techniques to meet reporting and analytics needs. Implemented and managed scalable data warehouses on Azure SQL and Google BigQuery for structured and semi-structured data storage.o Optimized SQL queries and data workflows, enhancing system efficiency and cutting processing time by 30%. Introduced caching tactics and data partitioning methods to boost query performance and minimize resource usage in data warehouses.o Worked closely with stakeholders to grasp reporting needs, translating them into scalable BI solutions using Tableau and Power BI. Created interactive dashboards and reports to visualize KPIs, trends, and insights, enabling real-time data-driven decisions.o Established and implemented data quality checks and monitoring procedures to ensure accuracy, completeness, and consistency of data across platforms.

o Supported senior engineers in designing and implementing Azure data solutions, including data lakes and data warehouses on Azure, AWS and GCP.o Advanced data analysis using Python (Pandas, NumPy, Seaborn, Matplotlib, SciPy), SQL, Spark, and Databricks to drive actional insights in Financial Data.o Contributed to ETL processes utilizing SSIS and Azure Data Factory, facilitating the smooth transformation and consolidation of financial data from diverse sources to the Data Warehouse.o Collaborated closely with data scientists and business stakeholders, gaining insights into defining data models and developing accessible data views, reports, and dashboards to streamline querying and reporting processes using SSRS, Power BI and QlikView.

Delivered engaging lectures on a variety of mathematics topics including calculus, algebra, and statistics to undergraduate students.Taught programming languages such as Python, Java, and C++, focusing on both foundational concepts and practical applications.Developed comprehensive course materials, including syllabi, assignments, and exams, tailored to diverse learning styles and academic levels.Guided students through complex problem-solving techniques, fostering analytical thinking and computational skills.Supervised student projects and provided mentorship, helping students to apply theoretical knowledge to real-world scenarios.Utilized modern teaching tools and technologies to enhance learning experiences and ensure accessibility of course content.Conducted research in applied mathematics and computer science, contributing to academic publications and conferences.Collaborated with faculty members to design interdisciplinary courses and promote an integrated approach to STEM education.