Summary
Naveen Vadlamudi is a pragmatic data and database engineer with 3+ years of hands-on experience building cloud-native ELT/ETL pipelines and optimizing data platforms across Snowflake, AWS, and Postgres environments. Currently a Student Database Administrator and master's candidate at the University of Lethbridge, he has delivered measurable production gains—cutting pipeline runtimes by up to 60% and reducing manual workflows from days to minutes. His toolkit spans Apache Spark, Matillion, Airflow, DBT, Airbyte and Docker, and he pairs SQL and Python fluency with practical skills in stored procedures, indexing and API development. Naveen blends research-driven interests in distributed data systems and sustainable AI with applied work on data quality, automation and governance, evidenced by MITACS research and open metadata POCs. He’s recognized for translating performance analysis into cost savings and operational dashboards, and for mentoring and teaching roles that sharpen his communication with stakeholders. Though currently employed, he remains engaged in experiments at the intersection of AI and data management.
7 years of coding experience
3 years of employment as a software developer
High School, Maths Physics and Chemistry, 92.2 %, High School, Maths Physics and Chemistry, 92.2 % at Sri Gayatri Junior College
Bachelor of Technology - BTech, Computer Science, 3.81/4.0, Bachelor of Technology - BTech, Computer Science, 3.81/4.0 at Geethanjali College of Engineering and Technology
Masters in Computer Science, Computer Science, 3.75/4.0, Masters in Computer Science, Computer Science, 3.75/4.0 at The University of Lethbridge
Secondary School, 9.2/10, Secondary School, 9.2/10 at Dilsukhnagar Public School,RK Puram
English, Hindi, Telugu, Tamil