Greeshma Reddy Maha

• Developed and maintained end-to-end operations of ETL data pipeline and worked with large data sets in Azure Data Factory
• Developed custom activities using Azure Functions, Azure Databricks and PowerShell scripts to perform data transformations, data cleaning, and data validation.
• Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
• .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
• Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
• Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance.
• Collaborated with data scientists to develop machine learning models by providing the necessary data infrastructure and preprocessing tools.
• Designed scalable and maintainable data models to support business intelligence initiatives and reporting needs.
• Evaluated various tools, technologies, and best practices for potential adoption in the company''s data engineering processes.
• Provided technical guidance and mentorship to junior team members, fostering a collaborative learning environment within the organization.
• Developed custom algorithms for advanced analytics, driving actionable insights from large datasets.

• Designed and implemented Extract, Transform, Load (ETL) pipelines leveraging Azure Databricks and Azure Data Factory
• Enhanced Azure Functions code to efficiently extract, transform, and load data from various sources.
• Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
• .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
• Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
• Optimized data processing by implementing efficient ETL pipelines and streamlining database design.
• Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.
• Automated routine tasks using Python scripts, increasing team productivity and reducing manual errors.
• Communicated new or updated data requirements to global team.
• Contributed to internal activities for overall process improvements, efficiencies and innovation.
• Designed and developed analytical data structures.
• Managed identification, protection and use of data assets.
• Developed and delivered business information solutions.

• Developed complex stored procedures, efficient triggers, and required functions, resulting in improved performance
• Designed ETL data flows using SSIS, creating mappings/workflows to extract data from various sources.
• Created data models and mapped content storage pathways to facilitate easy access and support troubleshooting access issues.
• Mentored junior developers in best practices for data warehousing design, development, and maintenance.
• Utilized comprehensive understanding of data types and best practices for organization and display.
• Developed customized BI solutions for various departments, improving decision-making capabilities across the organization.
• Implemented effective backup strategies which safeguarded critical business information against potential loss or damage.
• Collaborated with cross-functional teams to gather requirements for the development of new data warehouses and updates to existing systems.
• Generated reports, maintaining dimensional as well as relational data structures and managing operational data store and data warehouse.
• Streamlined data retrieval for business users by designing and developing user-friendly reporting tools.
• Effectively managed project timelines, consistently delivering high-quality work within budget constraints and deadlines.
• Optimized data warehouse performance by implementing efficient ETL processes and data cleansing techniques.
• Identified opportunities for process improvements in existing workflows leading to increased productivity and cost savings.
• Employed vast knowledge of relational database concepts and PL/SQL coding to produce highly efficient data systems.

• Contributed to the development of user-friendly dashboards for real-time data visualization and analysis.
• Enabled better-informed decision-making across departments by designing tailored reports highlighting key metrics specific to each function.
• Conducted regular audits of datasets, identifying discrepancies and taking corrective action as needed.
• Supported data-driven decision making by providing accurate and timely reports to management.
• Played a key role in migrating large datasets to new systems, minimizing disruptions to business operations.
• Developed automated processes for routine tasks, reducing manual efforts and increasing productivity levels.
• Provided training and support to team members on best practices for data entry, storage, and retrieval.
• Performed rigorous statistical analyses on large datasets, uncovering insights that informed strategic planning initiatives.
• Streamlined data collection processes for improved efficiency and reduced errors.
• Collaborated with cross-functional teams to ensure data consistency and quality across multiple platforms.
• Located and corrected data entry errors and reported to management.
• Leveraged advanced Excel functions for data manipulation and analysis.
• Employed SQL to query databases and retrieve data.

PROJECTS

• Selected for the Model Accuracy Improvement Program, I spearheaded workflow

•refinement initiatives aimed at enhancing efficiency leading to 50% reduction in

•user-reported errors, alongside notable improvements in Average Handling Time(AHT), Quality, and overall process effectiveness.

• Implemented comprehensive knowledge-sharing strategies within the team to

•enhance understanding of workflow processes, leading to a significant 40%

•decrease in the volume of support tickets related to seeking clarification onconventions and intricacies of processes.

• Spearheaded daily oversight and management of Overturn reviews, conducted

•root-cause analysis of the team's Overturns offering actionable insights for process improvement.

• Appointed as the designated liaison and Point of Contact (POC) for the team in GEMBA Connect with stakeholders responsible for addressing the team’s

•concerns related to Sensai technology during project execution and resolving

•process-related concerns to ensure operational efficiency.

PERSONAL PROJECTS

Model Accuracy Improvement Program

Led workflow refinement initiatives, resulting in a 50% reduction in user-reported errors, and notable improvements in AHT, quality, and overall process effectiveness.

Process Optimization Model Project

Implemented knowledge-sharing strategies, reducing support ticket volume by 40%, managed Overturn reviews with Root-cause analysis to drive significant process improvements.