Data Engineer Analyst

PARNIKA JONNALAGADDA

Boston, MA 857-***-**** ************.*@************.*** LinkedIn GitHub PROFESSIONAL SUMMARY

Around 4 years of experience as a Data Engineer, proficient in Python, SQL, Kubernetes & GCP, with expertise in developing end-to-end data pipelines, financial analysis frameworks, and dashboards. Proven track record in driving data-driven decision- making, demand forecasting, and optimizing business performance across customer retention and market viability analysis. WORK EXPERIENCE

CME Group Python, Multi-threading, GCP, Kubernetes, Docker Data Engineer Aug 2024 – Mar 2025

● Developed an automated Python-based comparison tool in VS Code that identified discrepancies between on-premises and GCP reports, processing multiple file formats with 90% accuracy for files up to 6GB.

● Utilized BigQuery for data analysis and HTML diff for character-level visualization reducing issue identification time by 85%.

● Containerized the application using docker and deployed to GCP using Kubernetes, implementing event driven architecture and REST API end points to automatically processes new reports.

● Optimized process efficiency with 90% matching threshold reducing comparison time by 65% for large financial reports.

● Streamlined workflow for product owners identify issues and create developer tickets, accelerating resolution y 40%. Monster Energy SQL, Python, Snowflake, Tableau

Data Analyst Jan 2022 – Aug 2023

● Curated an end-to-end data pipeline using Snowflake and Apache Spark, processing 1M+ customer records for market viability analysis and achieving 97% accuracy in demand forecasting of a new flavor.

● Developed a financial analysis framework in Python and SQL, calculating CAC, CLV, and ROI across segments to evaluate business performance of the product.

● Created a scoring matrix integrating market demand insights, validating a 2.3x ROI and optimizing investment decisions.

● Built Tableau dashboards to track KPI performance across eight market segments, driving data-driven decision-making. Bharat Sanchar Nigam Pvt. Ltd SQL, Tableau

Data Analyst Aug 2020 – Dec 2021

● Conducted customer retention analysis using SQL and statistical analysis to address yearly customer decline, achieving 92% accuracy in churn forecasting, and supporting strategic decision-making.

● Designed and implemented real-time data pipelines using SQL-server and Python to track customer behavior for 500,000+ users, enabling churn reduction strategies.

● Developed Tableau dashboards, delivering insights to optimize marketing and retention efforts in a fast-paced environment, resulting in 30% increase in customer retention.

● Presented data-driven recommendations to stakeholders, participated in quality assurance, directly contributing to marketing strategies that led to 200K+ new customer acquisitions. PROJECTS

YouTubers Subscribers Analysis Boston, MA

● Extracted UK Youtubers data using API, analyzed subscriber engagement, improving campaign performance by 93%.

● Designed Power BI dashboards using DAX, analyzed data in MSSQL (97% validation accuracy), and presented revenue insights in Excel and PowerPoint, increasing marketing ROI by 15%. Sales-Guard 360 Boston, MA

● Engineered an ETL pipeline with AWS (S3, Glue, Lambda) to automate customer retention and sales analysis, boosting efficiency by 75% with real-time tracking via Athena and SQL triggers.

● Created Power BI dashboards to illustrate customer behavior, sales trends, and revenue insights across regions and product categories, driving data-driven decisions leading to 20% increase in sales conversions. SKILLS

Programming Languages: SQL, Python (Pandas, NumPy, Scikit-learn, TensorFlow), R Business Intelligence: Tableau, Power BI, Quick Sight, Advanced MS Excel (Pivot tables, lookup), Salesforce Data Engineering/Analytical Skills: ETL, A/B Tests, Hadoop, PostgreSQL, Apache Spark, Salesforce, SaaS, JIRA Cloud Technologies: AWS (S3, DynamoDB, Lambda, Redshift), Azure, Snowflake, Databricks, Airflow Data Skills: Data Analysis, Querying, testing, Statistical methods, Data pipeline, Data Mining, Business Analytics EDUCATION

Northeastern University, Boston, MA Master of Science in Information systems Sreenidhi Institute of Science & Technology, India Bachelor of Technology in Electronics and Communication Engineering

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