VENKATESH GONDA
Bristol,CT
Summary
Professional data integration specialist prepared to excel in ETL development roles. Proven history of optimizing data workflows and enhancing data accuracy across various platforms. Known for strong team collaboration and consistent delivery of high-quality results, with expertise in SQL, data warehousing, and problem-solving.
Experienced with ETL processes and data transformation techniques essential for optimizing data workflows. Utilizes advanced SQL and data warehousing skills to ensure seamless data integration and improvement in data quality. Track record of effective collaboration with cross-functional teams and adaptability in dynamic project environments.
Overview
5
5
years of professional experience
Work History
ETL Developer
Citi Bank
01.2024 - Current
- Designed and maintained ETL pipelines to process high-volume banking data, including loans, deposits and transactions, ensuring accurate reporting and supporting compliance teams with Basel III, SOX and internal audit requirements effectively.
- Optimized ETL workflows for credit risk and customer account data, reducing processing time by 25% and enabling faster delivery of daily liquidity, portfolio risk and regulatory compliance reports across multiple banking divisions globally.
- Partnered with banking operations, compliance and risk teams to gather detailed requirements, document technical specifications and deliver scalable ETL solutions aligned with IFRS standards, CCAR stress testing and enterprise data governance frameworks.
- Automated repetitive reconciliation processes, improved financial data validations and enhanced reporting workflows, reducing manual efforts by 30% while ensuring greater transparency, consistency and efficiency across banking data management and reporting systems.
- Utilized Informatica, SSIS, SQL, Python, Tableau and Oracle to extract, transform, and analyze banking data, build dashboards, support executive reporting and deliver actionable insights for branch operations, treasury and compliance departments.
- Conducted extensive data quality checks, enforced validation rules on sensitive customer records and collaborated with internal auditors and regulators, improving data accuracy by 20% and strengthening adherence to banking compliance standards.
- Supported anti-money laundering (AML) and fraud detection systems by building ETL jobs that flagged unusual transaction patterns, reducing potential fraudulent activity by 15% and ensuring stronger adherence to financial crime compliance regulations.
Data Engineer
Airtel
01.2021 - 05.2023
- Designed and maintained advanced ETL pipelines to extract, clean and transform structured and unstructured financial data from multiple banking systems, improving reporting accuracy and significantly reducing processing time by 20%.
- Optimized enterprise-scale data warehouses and data lakes for efficient structured storage, ensuring scalability, improving overall query efficiency by 30% and consistently supporting business intelligence teams with timely access to critical data.
- Collaborated with diverse cross-functional stakeholders, including analysts, managers and compliance teams, to gather business requirements, translate them into technical specifications and deliver accurate data solutions aligned with goals.
- Automated recurring financial data workflows, validations and reconciliation processes across multiple departments, reducing manual interventions by 25% and improving overall system reliability, consistency and transparency effectively.
- Partnered closely with data scientists, engineers, and business analysts to prepare clean financial datasets for predictive modeling, customer segmentation and risk analytics, enhancing machine learning outcomes successfully.
- Implemented robust data governance practices by creating detailed documentation, enforcing comprehensive data quality checks and ensuring strict compliance with data security policies, reducing reporting errors significantly.
- Utilized SQL, Python, Spark, Hadoop, AWS, Snowflake, Tableau and Airflow extensively to build pipelines, manage enterprise data lakes, create dashboards and support analytics, improving data accuracy, efficiency and communication across projects.
Education
Master's - Computer and Information Sciences
Sacred Heart University
USA12.2024
Bachelors - Computer Science and Engineering
Guru Nanak Institute of Technology
Hyderabad, India07.2023
Skills
- Error handling
- Data lineage
- Real-time processing
- Python programming
- ETL modeling
- Database design
- Data transformation
- Data migration
- Data cleansing
- Data modeling
- SQL development
- SQL programming
- Data quality management
- Data validation
- Data governance
- Data mapping
- API integration
- Problem-solving
- Data warehousing
- Data security
Timeline
ETL Developer
Citi Bank
01.2024 - Current
Data Engineer
Airtel
01.2021 - 05.2023
Bachelors - Computer Science and Engineering
Guru Nanak Institute of Technology
Master's - Computer and Information Sciences
Sacred Heart University