Srikanth Dornala

About Srikanth Dornala

I am a dedicated and enthusiastic Data Engineer and Business Intelligence (BI) Engineer, eager to continuously expand my knowledge and skills in the dynamic realm of data and technology. My career path has been influenced by a sincere curiosity about how data can be utilized to facilitate smarter decision-making and enhance business results. I excel in settings where I can investigate new technologies, test various tools, and discover creative solutions to intricate data problems. Whether it involves constructing efficient ETL pipelines, refining data workflows, or creating interactive dashboards, I take pride in transforming raw data into valuable insights that enable organizations to make informed decisions.My technical expertise encompasses modern data platforms and tools such as SQL, Python, Snowflake, Azure, Azure Data Factory, Azure Databricks, Apache Airflow AWS, Power BI, and Tableau. I consistently seek out emerging trends in cloud computing, data warehousing, and real-time analytics to maintain a competitive edge. I believe that adaptability and a proactive approach to learning are crucial in a fast-paced technological landscape. For me, learning transcends merely acquiring new skills—it involves applying them to address real-world challenges and provide measurable value.Collaboration is fundamental to my work. I enjoy partnering with data analysts, software engineers, and business stakeholders to comprehend their needs, establish objectives, and deliver solutions that align with the organization\'s strategy. I tackle each project with a mindset focused on continuous improvement, always seeking ways to boost data reliability, scalability, and usability.In summary, my passion for data goes hand in hand with my commitment to personal and professional growth. I view every challenge as a chance to learn, innovate, and drive meaningful change through technology.

Experience

1. Sr Data Engineer

   PPL Corporation

   Apr 2023 — Present

   Implemented data warehouse: Oversaw the design and implementation of a cloud-based data warehouse solution, which lowered data retrieval times by 30% while increasing scalability for future growth.Query Optimization: Written TSQL Queries, Stored Procedures, views and Wellversed knowledge of SQL profiler and Query analyzer to enhance performance of SQL server by tracing and tuning the query.Optimized ETL Processes: Utilized SSIS & Informatica to streamline data integration. achieving a 30% reduction in data loading times and significantly enhancing reporting efficiency across multiple departments.Created Power BI and Tableau dashboards: Developed reports and dashboards for various departments, enhancing data visibility and contributing to a 20% reduction in operational inefficiencies. Designed Data Pipelines : Implemented data pipelines that improved ingestion efficiency by 35%, supporting the company’s transition to a cloud-first strategy.Monitored Snowflake Performance: Oversaw performance, storage, and query execution to ensure efficient operations and timely data availability, facilitating informed decision-making across teams.Established Row-Level Access Controls in Snowflake: Enhanced data security by tailoring access to sensitive information based on user roles, ensuring data remained secure while accessible to authorized individuals.Leadership: Trained and mentored interns and junior developers on best practices in SQL development and database management, fostering an environment of innovation and continuous improvement, resulting in a 30% boost in team productivity.Implemented Data Governance Practices: Established robust practices to ensure data quality and compliance with regulatory standards, reducing data discrepancies by 25% and bolstering trust in organizational data.

Education

• Sheffield Hallam University

  Master's degree, Msc Database Professional

  2008 — 2010

• Kakatiya University

  Bachelor of Science (BSc), Computer Science

  2002 — 2005

• Kakatiya University

  Master of Computer Applications - MCA, Computer Science

  2005 — 2008