Abhiram Atmuri

About Abhiram Atmuri

I\'m Abhiram Atmuri, Data Engineer and MS in Computer Science candidate at Lewis University. With 4+ years of experience across SaaS and enterprise analytics, I specialize in building scalable, data-driven systems that convert complex business needs into reliable, insight-generating solutions.‍ Expertise1. Data Engineering & Pipelines – Built scalable ETL frameworks at Overjet using Python, SQL, and cloud tools to power A/B testing, product analytics, and revenue performance insights.2. Visualization & BI – Designed Looker, Power BI, and Tableau dashboards used across finance, ops, and growth teams; reduced dashboard load times by 30–40 seconds at EY.3. SQL & Performance Tuning – Optimized stored procedures and indexing strategies, improving query speed by 25% and increasing data freshness for self-service analytics.4. Cloud & DevOps – Experienced in deploying data solutions using AWS (EC2, Lambda, S3), Azure Data Services, Docker, and CI/CD to automate data workflows and speed up delivery.5. Analytics Automation – Automated weekly data refresh pipelines, cutting manual effort and ensuring up-to-date, high-integrity data for decision-makers across teams. MotivationI\'m driven by solving messy, real-world data problems. Whether it’s wrangling schemas, debugging ETL breaks, or making dashboards that load before your coffee brews, I chase that intersection of reliability and impact. I thrive in agile teams that value clarity, iteration, and ownership. Education & Achievements1. Academic Excellence – Pursuing MS in Computer Science (GPA 3.8), following a Bachelor’s degree awarded with honors.2. Impact Delivery – Reduced ETL runtimes by 40%, improved dashboard speeds by 30–40s, and tuned SQL for a 25% lift in performance enabling faster insights and smoother analytics experiences.🤝 Let’s ConnectI’m always excited to talk data, engineering, or tech that moves the needle. Feel free to reach out!

Experience

1. Data Engineer

   OVERJET

   Feb 2024 — Present · Boston, MA, US

   Analyze large and complex datasets using Python, SQL, and statistical methods to uncover actionable insights, trends, and performance drivers across business operations.• Design and develop scalable ETL pipelines to support data ingestion, transformation, and delivery, ensuring consistency, reliability, and observability of the data infrastructure.• Collaborate cross-functionally with product, engineering, marketing, and finance teams to translate business goals into data requirements and reporting solutions.• Build and maintain dashboards and reports using visualization tools such as Looker, Power BI, Sigma, or Tableau, supporting both strategic and operational decision-making.• Drive the development and ongoing enhancement of data documentation, including data dictionaries and KPI definitions, to ensure a shared understanding and trust in metrics across teams.• Proactively identify data quality issues, recommend improvements, and implement solutions to maintain high standards of data integrity and availability.• Support A/B testing, product analytics, and customer segmentation efforts by applying statistical modeling techniques and communicating findings clearly to non-technical stakeholders.• Leverage experience in SaaS and B2B software domains to interpret data in the context of growth-stage business challenges, customer behavior, and revenue performance.• Participate in continuous process improvement initiatives and contribute to the scaling of analytics infrastructure in a fast-paced, high-growth startup environment.

Education

• Lewis University

  Master of Science - MS, Computer Science

• Dr.kkr's.Gowtham Concept School

  SSC, Secondary Education

• Sri Chaitanya Junior College

  Intermediate , MPC

• Jain (Deemed-to-be University)

  Bachelor of Technology - BTech, Computer Science

  2017 — 2021