NIRANJAN SAI RAJULAPATI
DATA ENGINEER
+1-940-***-**** ***************@*****.*** Denton, TX
PROFESSIONAL SUMMARY
Data Engineer and Analyst with two and half years of experience designing scalable ETL pipelines, cloud-based data solutions, and business intelligence reporting. Skilled in SQL, Python, Apache Spark, and cloud platforms (AWS, Azure) with proven success in Data Modelling, automation, and real-time analytics. Adept at transforming raw data into actionable insights, improving reporting efficiency, and ensuring data integrity, scalability, and performance. Strong collaborator experienced in Agile delivery, stakeholder engagement, and cross-functional teamwork. SKILLS
Programming & Data Processing: Python (pandas, NumPy), SQL, Bash, Spark (PySpark) ETL & Orchestration: Apache Airflow, Azure Data Factory, AWS Glue, Informatica Databases & Warehousing: Snowflake, Redshift, SQL Server, MySQL, Data Modeling Cloud Platforms: AWS (S3, RDS, Lambda, Glue), Azure (Synapse, Data Lake, Databricks) Visualization & BI: Power BI (DAX), Tableau, Excel (Pivot, VBA) Data Management: Data Pipelines, Data Cleansing, Data Quality, Data Governance DevOps & Tools: Docker, Kubernetes, Git/GitHub, JIRA, Confluence, Trello Soft Skills: Problem-Solving, Communication, Attention to Detail, Stakeholder Engagement PROFESSIONAL EXPERIENCE
INSIGHT ENTERPRISES DATA ANALYST Jul 2025 – Present
Designed and automated Power BI dashboards using DAX, enabling leaders to access real-time insights and improve reporting efficiency.
Partnered with stakeholders to define business KPIs, developing automated frameworks that ensured consistent performance tracking.
Performed SQL and Python-based analysis to evaluate large datasets, uncovering trends and optimizing reporting workflows.
Integrated data sources through Azure Data Factory and SQL Server, improving accuracy and standardization across business units.
Built reusable data models and templates that supported multiple teams, reducing duplication of effort and improving consistency.
Worked closely with product and operations teams in an Agile delivery environment, aligning analytics solutions with evolving priorities.
TECH MAHINDRA DATA ENGINEER Nov 2021 – May 2023
Developed and optimized ETL pipelines with Apache Spark and Airflow, ensuring timely delivery of structured data for analytics.
Built and maintained data warehouses in Snowflake and Redshift, creating models that supported business intelligence reporting.
Automated data ingestion workflows with AWS Glue and Lambda, improving data availability and streamlining operations.
Authored Python scripts and SQL queries for data validation, cleansing, and anomaly detection to improve dataset reliability.
Designed and implemented Kafka-based streaming pipelines, supporting real-time reporting for business-critical applications.
Containerized ETL and data services using Docker and Kubernetes, simplifying deployments and enabling scalable operations.
DATA ANALYST INTERN May 2021 – Oct 2021
Collected, cleaned, and prepared raw datasets with Python and SQL, ensuring accuracy and readiness for reporting.
Assisted in creating Tableau dashboards and Excel-based reports, providing meaningful insights for stakeholders and analysts.
Conducted data quality checks and anomaly detection, strengthening the accuracy of key business datasets.
Contributed to ETL process development using Informatica and SQL Server, automating recurring reporting workflows.
Documented workflows and collaborated with project teams in Agile environments using Trello and Confluence.
Supported senior analysts by preparing KPI-driven reports and contributing to performance monitoring initiatives. EDUCATION
Trine University – Detroit, MI (Hybrid)
Master of Technology in Information Studies
Aug 2023 – May 2025
Veltech University – Chennai, India
Bachelor of Technology in Computer Science
Jul 2019 – May 2023