Varsha M

• Optimized AWS Data Pipelines: Mar 2024 – present | Herndon VA, USA Led development and optimization of data pipelines on ADF, enhancing data efficiency and coherence across multiple backend microservices. Data Quality Assurance on AWS: Implemented robust quality checks within Azure to ensure data integrity, alerting upstream teams of discrepancies. Dashboard Development on AWS: Created and managed comprehensive dashboards in Power BI for real-time data quality monitoring, supporting strategic decision making. Leveraged Power BI to visualize complex datasets, enabling more nuanced insights and facilitating more informed business decisions.

• Led Xbox Customer Experience Team in analyzing user behavior and preferences, resulting in development of customer-centric strategies and effective campaigns that increased user engagement by 30%. Data Processing and Automation: Developed and optimized scalable data processing pipelines using C# and SQL, significantly enhancing predictive analytics and user behavior insights on Xbox platform. Employed automation techniques with Azure Data Factory, improving integration of real-time analytics and machine learning for dynamic user experiences. Collaborative Data Analysis and Insight Generation: Spearheaded initiatives to ensure data integrity and quality through meticulous checks, utilizing SQL and C#. Collaborated with data scientists and utilized advanced analytics tools to refine data preparation, driving personalized user engagement and actionable insights for strategic decision-making.

Enhancing Collaboration for Data-Driven Growth: Forged strong relationships with business stakeholders to precisely define and capture key business challenges and objectives. Through adept use of C# for nuanced data analysis, my work facilitated targeted improvements in marketing efforts and customer satisfaction measures, contributing directly to the Microsoft office’s strategic growth initiatives. Driving Innovation in Data Management and Reporting: Led the charge in developing sophisticated data processing frameworks and automating intricate reporting mechanisms. My initiative to harness C# for these purposes resulted in robust prediction models and a fortified data infrastructure, critically supporting data-driven decision-making and operational excellence. Pioneering Robust Data Architectures and Ensuring Compliance: I was at the forefront of designing scalable Data Warehouse architectures, meticulously ensuring compliance with GDPR regulations. Employing a blend of C#, COSMOS, SQL, Databricks and Power BI, I crafted comprehensive solutions that seamlessly integrated with business intelligence strategies, laying the groundwork for informed, agile responses to market dynamics.

Designed and implemented complex ETL processes to cleanse, transform, and enrich raw data, improving data quality and usability for downstream analytics applications. Collaborated with cross-functional teams to architect and optimize data models, databases, and data warehouses, improving query performance and data accessibility. Mentored junior data engineers in best practices for data engineering, including version control, code review, and documentation, to maintain high standards of quality and efficiency

ETL Process Management & Data Integration: Led the management and optimization of the ETL process,  seamlessly integrating data from diverse sources such as SQL Server, flat files, Excel, and XML using SSIS. My  efforts were focused on data cleansing, dynamic environment configuration, and type conversion to ensure high quality, accessible data for analysis and reporting.  Data Modeling & SSIS Package Configuration: Developed logical and physical data models, alongside detailed  ETL mapping documents, to align with intricate business logic and requirements. I designed and implemented  SSIS packages for efficient data loading, including incremental loads and handling of slowly changing dimensions,  ensuring agile and responsive data infrastructure.  Analytical Solutions & Security Implementation: Crafted and managed SSAS cubes, measures, and dimensions,  refining analytical capabilities for key performance indicators (KPIs) and business metrics. Implemented  comprehensive security measures using MDX in SSAS cubes to maintain data confidentiality across regions.  Additionally, I developed SSRS reports with advanced features and ad-hoc reporting capabilities to support  dynamic business intelligence needs, alongside creating essential development and production support

In my role as a software engineer, I specialized in leveraging Amazon Web Services (AWS) to architect and deploy  scalable, highly available, and fault-tolerant systems on the cloud. My responsibilities included designing and  implementing secure, efficient AWS infrastructure using services such as EC2 for compute capacity, S3 for  scalable storage, and RDS for managed database services. I focused on automating deployment processes using  AWS CloudFormation and ensuring optimal performance and security configurations in line with best practices.  This work was instrumental in facilitating seamless development workflows and supporting the high-availability  requirements of critical applications, demonstrating my proficiency in cloud architectures and my commitment to  leveraging cutting-edge technologies to drive business success