Years of Data Ops experience
KOMMOJU NAGARJUNACHARI
Hyderabad
Summary
Data Engineering and Analytics Leader with 10+ years of experience designing scalable data architectures, finance ETL pipelines using Python, Databricks, and automated reporting solutions. Expertise in Snowflake data warehouse design, data modeling, ETL development, and financial data governance. Proven track record of managing high-volume financial systems, ensuring SOX compliance, and delivering automated validation frameworks for audit-ready reporting. Strong stakeholder management experience across finance, operations, audit, and legal teams. Skilled in Tableau, Power BI, SQL, and CAPEX forecasting models to drive data-driven decision-making.
Overview
13
13
4
4
Years of Analytics Leadership Experience
2
2
USA offsite visits and collaborated with cross-functional teams
Work History
Lead - Data Engineer, Analytics
Chegg Inc
New Delhi (Remote)
01.2023 - Current
- Designed and implemented scalable ETL pipelines for finance and payment data using Python and SQL, orchestrated via Apache Airflow and Azure Data Factory, processing 5TB+ data daily, improving data reliability by 99.9% SLA, and ensuring full compliance with SOX audit and legal approval workflows.
- Built real-time and batch data processing frameworks using Apache Spark (Databricks) and Kafka, reducing data processing latency by 60% and enabling near real-time financial and operational reporting for critical business functions.
- Architected and deployed a high-volume payment processing platform supporting over 200,000 experts and millions of monthly transactions using Databricks, Delta Lake, and Snowflake, improving payment accuracy to 99.99% and reducing reconciliation effort by 70%.
- Developed and optimized enterprise-scale data warehouse and Lakehouse solutions on Snowflake and Delta Lake, managing 100+ million records, and improving query performance by 50%, significantly enhancing finance and executive reporting efficiency.
- Automated end-to-end data pipelines using Apache Airflow and Azure Data Factory, eliminating 80% of manual intervention, improving pipeline reliability, and reducing data availability time from 6 hours to less than 1 hour.
- Collaborated with 10+ cross-functional teams across Finance, Product, Legal, and Analytics, delivering 20+ production-grade data solutions, accelerating decision-making, and improving operational efficiency.
- Optimized distributed data processing workloads using Apache Spark and Databricks performance tuning techniques, reducing compute costs by 30% and improving pipeline execution time by 45%.
- Delivered CAPEX forecasting and financial planning data models, improving forecast accuracy by 15% and enabling leadership to make data-driven investment decisions impacting multi-million-dollar budgets.
- Designed and deployed Snowflake-powered operational dashboards and monitoring systems, enabling real-time business visibility and reducing incident detection and resolution time by 40%.
- Implemented modern Lakehouse architecture using Python, SQL, Spark, Kafka, Delta Lake, Snowflake, Databricks, Airflow, and Azure Data Factory, improving platform scalability to support 3x business growth without additional infrastructure cost.
Senior Data Analyst (Promoted from Data Analyst II)
Chegg Inc
Visakhapatnam
01.2014 - 12.2022
- US Onsite Strategy & Fraud Detection: Deputed to US headquarters for two strategic terms to collaborate with Risk & Fraud teams. Acquired specialized knowledge in identifying US student abuse patterns, which was successfully translated into automated detection algorithms for the offshore team.
- Enterprise Reporting: Developed and maintained a robust Tableau reporting system to track the end-to-end lifecycle (authoring to publishing) of 70,000+ textbooks.
- Abuse Pattern Recognition: Applied insights from US training to track 100,000+ daily Q&A interactions, determining abuse subscribers through advanced pattern recognition and measuring the impact of abuse content on end-users.
- Cloud Data Integration: Led projects involving end-to-end tracking reports using Databricks (AWS Version) and Python for file validation, ensuring high data quality.
- Team Mentorship: Trained and managed a team of analysts, providing technical guidance on SQL and visualization best practices.
MIS Lead - Support
Cramster Inc
Visakhapatnam
04.2009 - 12.2014
- Designed operational dashboards to track performance metrics for 200+ employees across different time durations.
- Conducted extensive analysis on 10k+ textbooks and 200k problems to drive user base growth strategies.
- Collaborated with the finance team to calculate ROI metrics and measure organizational growth.
Education
Master of Computer Application - Computer science
MATS University
Raipur01-2016
Diploma of Higher Education - Post Graduate Diploma in Computer Applications
State Board of Technical Education
Andhra Pradesh01-2013
Bachelor of Arts - Economics
Andhra University
Visakhapatnam01-2011
Certificate of Higher Education - Stenographer & Secretarial Assistant (English)
Industrial Training Institute (ITI)
Andhra Pradesh01-2000
Skills
- Python ETL workflows and data pipelines
- Azure Databricks with Pyspark
- SQL/No SQL and database management
- Azure/AWS cloud infrastructure
- Git CI/CD pipeline integration
- Tableau, Power BI and Domo
- Data visualization design
- Statistical modeling and trend analysis
- Financial forecasting strategies
- Vendor auditing expertise
- Team management and collaboration
- Agile methodologies
- Fraud identication pattern
- Documentation and requirements gathering
- Big data handling
- Data Modelling
- Performance monitoring
- Analytical mindset
LinkedIn Profile
www.linkedin.com/in/nagkn
Awards
- Star Performer Award, 2016-01-01, Recipient in 2016-H1 for excellence in data analytics and delivery.
- Star Performer Award, 2020-01-01, Recipient in 2020-H2 for excellence in data analytics and delivery.
Certification
Microsoft Certified
- DP-700: Fabric Data Engineer Associate
- PL-300: Power BI Data Analyst Associate
Timeline
Lead - Data Engineer, Analytics
Chegg Inc
01.2023 - Current
Senior Data Analyst (Promoted from Data Analyst II)
Chegg Inc
01.2014 - 12.2022
MIS Lead - Support
Cramster Inc
04.2009 - 12.2014
Master of Computer Application - Computer science
MATS University
Diploma of Higher Education - Post Graduate Diploma in Computer Applications
State Board of Technical Education
Bachelor of Arts - Economics
Andhra University
Certificate of Higher Education - Stenographer & Secretarial Assistant (English)
Industrial Training Institute (ITI)