JITHENDRA BOJEDLA

Cloud Systems / Remote

• Designed and maintained scalable data pipelines (batch + real-time), automating ETL workflows that processed 10M+ records daily and reduced manual intervention by 60%, ensuring consistent data availability across analytics platforms.
• Optimized complex SQL queries and developed Python automation scripts, improving query performance by 35% and cutting report generation time from hours to minutes, enabling faster business decision-making.
• Leveraged cloud infrastructure (AWS/GCP/Azure) to manage secure storage and compute resources, reducing infrastructure costs by 20% while ensuring 99.9% system uptime and compliance with data security standards.
• Partnered with data scientists to prepare and serve curated datasets for machine learning use cases, accelerating model training cycles by 40% and improving prediction accuracy through high-quality, validated data.

Maseeh College of Engineering / Portland, OR

• Designed and optimized ETL/ELT pipelines with Azure Data Factory, Databricks, and SQL Server, accelerating analytics workflows and cloud migration.
• Modernized legacy warehouses by integrating Snowflake and Synapse with star/snowflake schemas, improving data accessibility and reporting.
• Engineered Power BI dashboards and real-time pipelines, enabling stakeholders to derive actionable insights from high-volume datasets.
• Improved system efficiency by tuning SQL queries and applying data quality frameworks, ensuring governance and compliance standards.

EDB / Pune, India

• Led efforts in data migration from Oracle to PostgreSQL, focusing on ensuring data integrity, minimizing code changes, and improving compatibility across versions.
• Leveraged the EDB Migration Portal, an ML-powered web tool, to analyze and migrate Oracle schemas to EPAS (v10–14), enabling smoother transitions for legacy data systems.
• Performed in-depth ETL-like processes, handling structured data transformations using SQL, resolving data type conflicts, and identifying unsupported procedures using pkgfinder.
• Investigated and resolved complex PL/SQL compatibility issues, raising and tracking 50+ Jira tickets; collaborated with dev teams on bug fixes related to dbms_utility, dbms_xmlparser, and pipelined functions.

Masters in Computer Science

Portland State University

September 2023 — March 2025

Bachelors in Information Technology

VR Siddhartha Engineering College

August 2019 — April 2023