SQL-Powered Data Analytics and BI Engineer

Gokula Ranga Naveen Chapala

585-***-**** ******@*.***.*** linkedin.com/in/gokul-naveen gokul-portfolio-2708.vercel.app Seattle, WA SUMMARY

Data Analyst with 3+ years delivering SQL-driven reporting, performance dashboards, and automated data pipelines for business and clinical operations teams. Built Power BI and Grafana dashboards tracking 15+ KPIs for 40+ teams at Reliable Software; developed compliance analytics pipeline at Accenture validating 500K+ daily healthcare-adjacent records with Python and SQL quality gates. MS CS (3.9 GPA) from RIT; proficient in Python, SQL (T-SQL), Power BI, Snowflake, and cloud-native data workflows.

SKILLS

SQL and Databases: SQL (T-SQL), PostgreSQL, SQL Server, MongoDB, DynamoDB, Redis, Snowflake, query optimization, data modeling, stored procedures Data Visualization and Reporting: Power BI, Grafana, ELK stack, Tableau (exposure), dashboard development, KPI reporting, stakeholder data communication Python and Data Engineering: Python, Pandas, NumPy, Kafka, ETL pipelines, Airflow, data pipeline automation, reporting automation, data quality scripting Analytics and Business Intelligence: data validation, reconciliation, anomaly detection, KPI definition, business rules documentation, trend analysis, performance metrics

Cloud and Infrastructure: AWS (S3, Lambda, EC2, RDS, API Gateway), Snowflake, Docker, Terraform, CI/CD, serverless data architecture Engineering and Tools: FastAPI, Node.js, React, Next.js, Java, Spring Boot, GitHub, Agile/Scrum, JIRA, LangGraph, OpenAI APIs, pgvector EXPERIENCE

Data Analyst Reliable Software Oct 2025 - Present Developed Python and SQL analytics pipelines to query, join, and summarize workflow data across 8 distributed sources, delivering 15+ operational KPIs and trend reports for 40+ engineering teams.

Built Power BI and Grafana performance dashboards visualizing job orchestration KPIs, SLA trends, and workflow health metrics for 40+ teams, enabling stakeholders to identify issues 60% faster.

Implemented automated data validation and quality checks across 1M+ monthly workflow records, reducing data anomalies and improving pipeline reliability from 88% to 92% via Python audit pipelines.

Designed and maintained ETL data pipelines with Python and Kafka to consolidate orchestration data from 8 sources, automating data staging and quality checks in collaboration with data engineering.

Partnered with 40+ teams to define KPIs, SLAs, and performance metrics, documenting business rules and data transformation logic to ensure consistent and reproducible cross-team analytics.

Automated reporting workflows with Python and CI/CD pipelines, delivering 3x faster analytics refresh cycles and eliminating manual report generation across 8 workflow data sources.

Data Analyst Accenture (Client: HireRight) Jul 2021 - Jul 2023 Queried and analyzed 500K+ daily healthcare background verification records with SQL and Python, developing complex joins across multiple sources to validate compliance data for 50+ state regulatory rules. Built compliance ETL pipeline with Python and Kafka, automating data staging and transformation for 50+ state business rules that reduced processing from 45 min to 12 min and 4x faster reporting throughput.

Designed data validation, schema checks, and reconciliation routines for identity verification records, ensuring 99.9%+ data accuracy across 500K+ daily transactions and meeting multi-state compliance.

Performed SQL performance analysis on identity verification queries, optimizing index strategies and Redis cache policies to sustain sub-500ms query response and reduce infrastructure costs by 15%.

Built Grafana reporting dashboards for business and operations teams, translating pipeline metrics into actionable insights that reduced mean time to identify data anomalies from 15 min to 6 min.

Graduate Assistant Rochester Institute of Technology Jan 2025 - Aug 2025 Analyzed SQL query performance and data models for campus registration system serving 15K students, redesigning database layer and reducing API latency from 4.2s to 800ms during peak enrollment.

Validated system performance through load data analysis and optimization, scaling throughput from 80 to 140 req/s at 99.8% availability via AWS auto-scaling and connection pool tuning.

Mentored 3 junior developers on SQL data modeling, Python scripting, and data quality practices, raising test coverage to 85% and reducing code review cycle time by 40%.

PROJECTS

Serverless Health Analytics Platform Python, AWS Lambda, DynamoDB, Snowflake, Next.js, React, EventBridge, Terraform Built cloud-based health analytics platform processing 10K+ daily nutrition records on AWS Lambda, DynamoDB, and EventBridge with Snowflake integration for aggregated analytics and real-time dashboards. Implemented automated ETL and CI/CD pipeline for 12 Lambda functions with data validation checks and DynamoDB stream-based analytics, enabling sub- 200ms query response for reporting workloads.

LLM Watermarking for AI Content Attribution Python, FastAPI, BERT, GPT-2, PostgreSQL, Pandas, Docker Developed data analysis and detection pipeline (z-score statistics and BERT classifier) to identify AI-generated content, achieving 98.7% accuracy across 10K+ records in a production FastAPI service.

Designed statistical validation framework testing detection accuracy, reliability, and outliers; BERT classifier sustained 95.2% detection accuracy on adversarially paraphrased content at scale.

Agentic Technical Content Generator Python, LangGraph, FastAPI, React, OpenAI APIs, pgvector, Supabase Built RAG data ingestion pipeline with pgvector retrieval across 50K+ indexed documents, implementing Python-based chunking, embedding, and semantic search workflows for 200+ daily requests.

Developed LLM data quality evaluation framework using Python to validate output accuracy and consistency across OpenAI GPT-4, Groq, and Gemini 2.5 Flash for 99.9% uptime with automated reporting.

EDUCATION

Rochester Institute of Technology (RIT) Aug 2023 - Aug 2025 Master of Science in Computer Science GPA: 3.9/4.0 Relevant Coursework: Database Systems, Statistics, Machine Learning, Distributed Systems, Cloud Computing, Data Engineering

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