Teja Reddy Email and Phone Number

As a Data Engineer, I transferred code using Scala, Spark, Hive,improving data processing jobs and creating Hive queries for batch processes. I resolved data quality issues and enhanced workflows with parallel processing. I collaborated with developers and performance engineers to optimize system performance. Adopting Agile methodology, I managed user stories and refined PySpark code, conducting thorough end-to-end testing. I constructed Spark applications for data extraction, transformation, and aggregation, uncovering customer usage insights. Additionally, I designed and deployed automated ETL pipelines using Talend, improving data integration and reducing processing time by 40%. I maintained RESTful APIs for data integration and implemented robust data security and compliance measures to ensure data integrity and protection.

As a Data Engineer, I implemented and optimized ETL jobs and data pipelines, transitioning legacy system data to cloud storage and enhancing data handling with Scala and Spark. I developed SSIS packages, created complex SSIS mappings, and generated BI dashboards for business insights. I engineered big data jobs for large data volumes, configured and executed ELT pipelines, and improved data warehousing performance through clustering and query tuning. I streamlined batch and real-time data pipelines, integrated BI tools for seamless reporting, and enhanced data security with role-based access control and data masking. Additionally, I established CI/CD pipelines and integrated services and SQL databases using DevOps practices.

As a Python Data Engineer, I designed and implemented data pipelines to analyze telecommunication data using Python, Pandas, and Numpy, ensuring accuracy in network traffic, customer interactions, and infrastructure. I developed and optimized ETL processes with Python scripts, Excel, and SQL queries to cleanse, transform, and load data for network optimization and customer analysis. Managing MySQL databases, I ensured high availability and efficient data retrieval. I created interactive Tableau visualizations to present network performance, customer satisfaction, and resource allocation trends. Conducting statistical analysis with Python, Excel, and R, I evaluated network reliability and call quality. I generated detailed analytical reports for regulatory bodies and internal stakeholders, and collaborated with teams to deliver data-driven insights. I advanced my skills in SAS and Google Analytics, supported cross-functional teams in achieving project goals, and enforced data security measures to ensure compliance and data integrity.

As a Python Data Engineer Intern, I streamlined data workflows for telecommunication datasets, enhancing customer interaction metrics. I cleansed data and prepared datasets using Python, Excel, and SQL queries. I configured MySQL databases for scalable storage and created Tableau visualizations for network performance. Conducting statistical analysis with Python and Excel, I assessed network reliability. I compiled reports for stakeholders, provided data insights to teams, and explored SAS and Google Analytics to enhance my skills. I assisted in achieving project goals and supported data security measures for compliance.