Summary
Overview
Work History
Education
Skills
Accomplishments
Additional Skills
Projects And Achievements
Key Improvements
Timeline
Generic

Sindhoori Dhannarapu

Summary

Senior Database Engineer with over 7 years of experience in developing and maintaining high-performance data infrastructures. Expertise in data migration, ETL development, and automated data quality assurance, utilizing Python and SQL for data transformation and retrieval. Proven ability to design and implement efficient ETL workflows across multiple database systems, enhancing data integration and processing. Strong background in software testing and Agile methodologies, with a focus on continuous improvement and collaboration across teams.

Overview

7
7
years of professional experience

Work History

Senior Database Engineer

IVY COMPTECH
07.2017 - 08.2024
  • Designed, developed, and optimized ETL pipelines using Pentaho Data Integration (PDI), ensuring seamless data transfer between 2 Databases.
  • Implemented automated data validation checks after data migration, ensuring data integrity and accuracy across all systems.
  • Utilized Python to automate data cleansing, transformation, and standardization tasks, improving the quality of data before integration into target systems.
  • Developed, Automated and scheduled batch jobs & Cron jobs using VM Task Schedulers and Linux environments, ensuring timely execution and monitoring of data jobs.
  • Worked with cross-functional teams to design and deploy efficient data pipelines and reporting workflows, driving business intelligence and decision-making.
  • Wrote complex SQL queries for data retrieval, validation, and transformation, significantly reducing manual processing time and improving performance for everyday use.
  • Used Git for version control and collaboration on ETL pipeline development, enabling efficient code management and team integration.
  • Coordinated with stakeholders to ensure data requirements and standards were met for reporting and analytics.
  • Proficient in performing CR deployments & code reviews.
  • Responsible for reviewing AWR reports, finding problematic sql’s & reporting to relevant teams responsible for handling that code.
  • Worked on configuring Casino games for different regulatory markets for all portals of Entain.
  • Well versed with SDLC – Agile, Scrum methodologies.
  • Well versed with SQL for gathering data of configuration status and making required changes in DB as per the requirement or new features of the system.
  • Proficient in creating Change Management CR.
  • Aware of JIRA for issue tracking in case of environmental issues and for managing the test cases and bugs being raised.
  • Will identify the tests that must be performed whenever a new feature was introduced and when regression testing is required on an End-to-End basis.
  • Involved in the training set of team members on the work perspective.
  • Responsible for checking logs in putty related to regulatory requirements.
  • Interacting with product owners for the requirements and deliverables for reaching targets of Sprint Planning.
  • Responsible for raising Patch requests for any restarts related to Regulatory Markets.
  • Responsible for generating test reports every day for every new game launch w.r.t every market part of rollout.

Education

Bachelor of Technology (B.Tech) - Computer Science

TKR Engineering College
01.2017

Skills

  • ETL Tools: Pentaho Data Integration (PDI)
  • Programming Languages: Python
  • Programming Languages: SQL
  • Programming Languages: Batch & Shell scripting
  • Databases: PostgreSQL
  • Databases: MySQL
  • Databases: Oracle
  • Databases: SQL Server
  • Operating Systems: Linux
  • Operating Systems: Windows
  • Data Visualization: Power BI
  • Data Visualization: Tableau
  • Cloud Technologies: AWS
  • Cloud Technologies: AZURE
  • Tools & Technologies: Confluence
  • Tools & Technologies: SharePoint
  • Tools & Technologies: Jira
  • Tools & Technologies: Excel
  • Version control: Git, bitbucket, version one, github
  • ETL development
  • SQL querying
  • Data validation
  • Python automation
  • Database optimization
  • Agile methodologies
  • Problem solving
  • Data security
  • Database security
  • Backup and recovery
  • Data migration
  • Query optimization

Accomplishments

  • Reduced data transfer times by 30% by optimizing ETL processes and improving query execution efficiency.
  • Automated 50+ data integration processes, significantly reducing manual efforts and error rates.
  • Ensured data validation is done daily basis using mail alerts to notify if any discrepancies.
  • Received Awards twice for the projects that I have worked on in Company Annual Awards.

Additional Skills

Familiar with GDPR, data privacy practices, and data compliance., Exposure to continuous integration tools such as Jenkins and GitLab for automating deployments of data systems.

Projects And Achievements

  • Common Affiliates – Migration & Daily Data Transfer, Migrated data from multiple source databases to a centralized warehouse., Developed multiple views to avoid rewriting queries for fetching data., Developed ETL processes Using Pentaho tool to automate and clean large volumes of transaction data., Developed data validation scripts using SQL to verify if there is any data mismatch & rerun jobs again., Improved data pipeline reliability by implementing automatic monitoring and alerting for job failures., Created Dependant jobs to avoid manual runs.
  • SASW – Single Account Single Wallet, Developed Scripts to merge data across multiple US states player registration & gaming information to make it centralized Using SQL Queries., Developed Automated scripts to run in Linux environment to avoid manual runs and to improve efficiency., Developed automated scripts to validate and clean customer and sales data, ensuring consistency across platforms., Enhanced the validation framework using Python, reducing manual data errors by 40%., Created packages which in turn replicate data from source to target Databases upon any DML action on some set of tables.

Key Improvements

  • Redundancy reduced (e.g., Pentaho and ETL workflows are now logically grouped and not repeated).
  • Structure improved: Paragraphs are organized into focused themes—core expertise, ETL work, automation/tools, testing/QA, and soft skills.
  • Tone enhanced: Reads more confidently and professionally.
  • Better flow: It transitions naturally from technical skills to process knowledge and finally to interpersonal strengths.

Timeline

Senior Database Engineer

IVY COMPTECH
07.2017 - 08.2024

Bachelor of Technology (B.Tech) - Computer Science

TKR Engineering College

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Sindhoori Dhannarapu