• Part of Data Center Engineering Analytics Team.• Performed data processing, logic customization, and data extraction using SQL, Python, Excel Macros, Smartsheet, and Datamesh. • Collaborated with data engineers to build, optimize, and maintain Glue data pipelines and ETL workflows.

• Engineered 20+ real-time data pipelines with Kafka and SQL Stored Procedures, enhancing system scalability and reliability by decoupling frontend and backend data communication.• Developed data models and data dictionaries for the Fast Data Access team to store, process, and analyze large amounts of data from CRM, COM, and 5+ other systems, improving data accessibility and consistency across the organization.• Analyzed telecom domain data of 18M monthly active subscribers and >28M monthly orders to guide marketing and product strategy teams, resulting in a 10% reduction in churn and an 8% increase in customer satisfaction (CSAT).• Crafted dashboards using Tableau and Power BI to display >10 key performance indicators (KPIs) related to customer behavior and network optimizations, enhancing data visibility and decision-making processes.• Constructed real-time automated reporting procedures using Python and Spark that standardized metrics across the company, saving >200 monthly hours of manual reporting by implementing advanced data integration and automation techniques.• Drove a high-performing 7-member team as the Development Lead, propelling to conquer multiple sprints with unmatched efficiency and delivering exceptional results, keeping defect count below 5.

• Developed and maintained >30 MySQL scripts and stored procedures to clean, transform, and load data from more than 10 diverse sources, ensuring data integrity and quality to support critical business operations.• Created Kafka Memsql Pipelines for stream processing, achieving an impressive throughput of 100,000 TPS.• Collaborated to optimize SingleStore's in-memory OLTP database, achieving a 10x response time improvement and ensuring sub-10ms query efficiency for enhanced business operations.• Utilized Python scripting for monitoring and automation responsibilities.• Developed a Proof of Concept (POC) to seamlessly integrate data flow, incorporating Amazon S3, Glue (PySpark), and Redshift to optimize ETL and Data Warehousing operations.

Successfully finished my vocational training, where I gained proficiency in both technical skills and leadership abilities.