# Naren Rajendran > Data Engineer at North Gravity Location: New York, New York, United States Profile: https://flows.cv/narenrajendran I graduated with a Masters in Computer Science from New York University in May 2023, where I gained valuable experience as a graduate student adjunct, a graduate course assistant, a researcher, and a graduate assistant in various projects and courses related to AI, ML, HCI, and Data Science. I also hold multiple certifications and speak three languages, demonstrating my passion for learning and innovation. I am looking for opportunities to leverage my skills and knowledge in challenging and impactful data-driven projects. Let's connect ## Work Experience ### Data Engineer @ NorthGravity Jan 2024 – Present | Chicago, IL • Designed and deployed scalable data pipelines using DBT and Snowflake, increasing data processing efficiency by 30% and ensuring reliable ETL workflows. • Developed and optimized 30+ complex stored procedures in SQL Server to automate data validation, reconciliation, and anomaly detection across 20+ production datasets, reducing manual intervention by 60%. • Engineered 10+ monitoring solutions using DataDog and T-SQL, proactively identifying data quality issues such as re-retirement violations and metadata gaps across 13+ legacy registries. • Managed 25+ deployment workflows through Azure DevOps, automating pipeline execution and enabling faster and safer releases across development, staging, and production environments. • Investigated and resolved 100+ cross-registry accounting discrepancies by analyzing production data using window functions, linked servers, and cross-database joins, ensuring alignment between ledger and transactional systems across 12+ tenants. ### Adjunct Instructor @ NYU Courant Institute of Mathematical Sciences Jan 2024 – Jan 2024 | New York City Metropolitan Area ### Data Engineer @ AssistNow INC Jan 2023 – Jan 2024 • Designed and maintained ETL pipelines integrating data from 5+ heterogeneous sources into Snowflake, standardizing ingestion processes and improving accessibility and data trust by 40%. • Automated data validation for 10M+ records using Python and SQL, achieving 90% accuracy and accelerating delivery of time-sensitive business insights. • Built custom Tableau dashboards to highlight operational bottlenecks and trend indicators, leading to a 20% boost in project success rates and more proactive planning. ### Data Engineer @ Data Safeguard Inc. Jan 2023 – Jan 2023 | Santa Clara, California, United States • Built data pipelines for ML-driven customer segmentation, increasing marketing conversions and revenue by 20% and 15% respectively, using Python. • Improved data quality by 30% through collaborative problem-solving with engineering teams, employing SQL and data structures. • Enhanced system performance and user satisfaction by 30% and 10% respectively by integrating AI/ML models into workflows, utilizing Databricks and big data technologies. ### Graduate Student Adjunct @ NYU Courant Institute of Mathematical Sciences Jan 2023 – Jan 2023 | New York, United States Graduate Student Adjunct for Quantitative Reasoning: Great Ideas in Math course taught by Professor Hesam Oveys. Responsibilities: • Hold recitation sections for 120 students resulting in a better understanding of class material and score improvements • Designed comprehensive lesson plans on Quantitative Reasoning, facilitating effective knowledge transfer to students • Assisted the professor in executing lesson plans and provided valuable guidance to students during weekly office hours • Conducted evaluations of students, delivering precise assessments and prompt feedback on assignments and exams ### Graduate Course Assistant @ New York University Jan 2022 – Jan 2022 | New York, United States Graduate Course Assistant for Human-Computer Interaction course taken by Professor Nitesh Goyal. Responsibilities: • Hold recitation sections for 30 students resulting in a better understanding of class material and score improvements. • Develop lesson plans and lecture slides for a class of 30 students covering materials on Human-Computer Interaction. • Support the Professor in the execution of lesson plans and provide individual attention to student(s) during weekly office hours. • Observe student performance and take care of grading responsibilities ### Data Architect Engineer @ Warner Music Group Jan 2022 – Jan 2022 | New York, New York, United States • Developed and implemented ETL pipelines from 10 sources, halving processing time and boosting data accuracy by 75% • Generated over 30 Tableau reports for data integration, enhancing data-driven decision-making by 20%. • Streamlined SQL queries and automated 60% of tasks, enhancing efficiency and leveraging AWS cloud services. • Enhanced cross-team collaboration, ensuring 100% data integrity across 5+ platforms, which led to a 40% improvement in project alignment and a 25% increase in stakeholder satisfaction. ### Researcher @ NYU Vertically Integrated Projects (VIP) Jan 2022 – Jan 2022 | Brooklyn, New York, United States • Investigated the relationship between sleep and stress in Mice, and how increasing stress will lower sleep quality • Conducted comprehensive sleep quality monitoring of mice, tracking sleep patterns and cycles over a 15-day period under stress exposure, across 8 groups, to identify underlying sleep state patterns and analyze sleep quality • Built a Machine Learning classification model to predict the different sleep states based on EEG and EMG data ### Graduate Assistant at NYU Wireless and CATT @ NYU Tandon School of Engineering Jan 2021 – Jan 2022 | Brooklyn, New York, United States • Collected and organised over 100 funded research projects every 2 months from the National Science Foundation undertaken by the professors at NYU Wireless in maintaining organizational structure. • Organize, extrapolate, and disseminate data across departments to be used for drawing conclusions about the success of current methods, and was also responsible for preparing publication content for the professors and PhD students ### Data Engineer @ VuNet Systems Jan 2021 – Jan 2021 | Chennai, Tamil Nadu, India • Launched an AI-based Business Observability platform using Python, enhancing monitoring efficiency and product development by 60%. • Engineered a scalable distributed tracing system for datasets exceeding 1TB with SQL and Tableau, improving processing speed by 30% and accuracy by 20%. • Led a 15-engineer team in operating a high-performance distributed system on AWS, managing over 10,000 requests per second. ### Data Engineer @ Kirtilals Jan 2020 – Jan 2020 | Chennai, Tamil Nadu, India • Implemented ETL pipelines using Python and SQL, improving business efficiency by 45% from concept to deployment. • Optimized data architecture for the company website using AWS and Tableau, enhancing user experience by 20% and reducing load times by 30%. • Enhanced application performance by fine-tuning data queries with Python and SQL, boosting system reliability and efficiency by 25%. ### Summer Intern @ National University of Singapore Jan 2019 – Jan 2019 | Singapore Successfully completed an Internship on Big Data Analytics using Artificial Neural Networks, worked on a project called “Community Classification” which classified comments and posts by users on an audio company’s website called Music Tribe ### Summer Intern @ Hewlett Packard Enterprise Jan 2019 – Jan 2019 | Singapore Interned at National University of Singapore in association with Hewlett Packard Enterprise, where I completed training in Big Data and Hadoop System Administration. ### Web Developer @ BORN Group Jan 2018 – Jan 2018 | Chennai, Tamil Nadu, India • Developed and maintained responsive websites for clients, ensuring seamless user experience across various devices and browsers. • Implemented modern web technologies (HTML, CSS, JavaScript) and frameworks (React, Angular) to create dynamic and interactive web applications. • Collaborated with cross-functional teams, including designers and project managers, to deliver high-quality websites within deadlines. • Optimized website performance and loading speed through efficient coding practices and performance testing, resulting in improved user engagement and conversion rates ### Trainee @ Hewlett Packard Enterprise Jan 2017 – Jan 2017 | Chennai, Tamil Nadu, India Completed an Inplant training at Hewlett Packard Enterprise ## Education ### Master of Science - MS in Computer Science New York University Jan 2021 – Jan 2023 ### Bachelor of Technology in Computer Science SRM IST Chennai Jan 2016 – Jan 2020 ### High School in Computer Science Bala Vidya Mandir Jan 2014 – Jan 2016 ## Contact & Social - LinkedIn: https://linkedin.com/in/narenrajendran --- Source: https://flows.cv/narenrajendran JSON Resume: https://flows.cv/narenrajendran/resume.json Last updated: 2026-03-23