Data Analyst & Engineering Associate Resume Summary

SAINATH BOMBOTHULA

Data Analyst Data Engineering Associate

***********@*****.*** 720-***-**** LinkedIn

PROFESSIONAL SUMMARY

Data professional with 3+ years of experience across analytics and data engineering roles, combining strong SQL, Excel, and data transformation skills with hands-on experience in enterprise environments. Proven ability to analyze large datasets, build reliable data pipelines, and deliver actionable insights for business and technical stakeholders. Holds a master’s in information technology & project management with experience working in fast-paced, data- driven organizations including BYJU’S and Oracle. Actively seeking full-time opportunities in Data Analyst, Operations Analyst, or Data Engineering roles.

CORE SKILLS

• Programming & Querying: SQL, Advanced Excel, Python (data processing)

• Data Engineering: ETL/ELT Concepts, Data Validation, Data Modeling

• Databases & Warehousing: Oracle DB, SQL Server, Cloud Data Warehouses

• Analytics & Reporting: Data Analysis, KPI Reporting, Dashboard Development

• Tools & Platforms: Excel, SQL Developer, Oracle Tools, GitHub

• Methodologies: Agile, SDLC, Data Quality & Governance

• Soft Skills: Stakeholder Communication, Documentation, Problem Solving PROFESSIONAL EXPERIENCE

Oracle — Data Engineering Associate. Jan 2024 – Present United States

• Supported 5+ data pipelines processing structured enterprise data using SQL and Python, improving data availability for analytics teams

• Developed and optimized 20+ complex SQL queries, reducing query execution time by 25–30%

• Assisted in ETL workflows handling records per refresh, ensuring high data accuracy and reliability

• Performed data validation and reconciliation across multiple source systems, reducing reporting discrepancies by ~20%

• Collaborated with cross-functional teams (analytics, product, business) to translate requirements into technical data solutions

• Documented 10+ data pipelines and schemas, improving onboarding and long-term maintainability BYJU’S — Data Analyst May 2021 – Jun 2023 India

• Analyzed large datasets using SQL and Excel to support operational and academic decision-making

• Built and maintained 15+ recurring Excel reports and dashboards used by operations and academic teams

• Wrote optimized SQL queries for data extraction and aggregation, improving reporting turnaround time by

~30%

• Performed data cleaning and validation checks, improving data accuracy and consistency by 20–25%

• Delivered weekly and monthly ad-hoc analysis supporting performance tracking and planning initiatives

• Documented metrics definitions and reporting logic, reducing dependency on manual explanations and rework

EDUCATION

Master of Science — Information Technology & Project Management Indiana Wesleyan University Sep 2023 – May 2025 United States

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