Data Engineer - AWS & Azure - ETL & Data Pipelines Specialist

Sameer Sanjay Nimse

*****************@*****.*** LinkedIn GitHub Portfolio +1-609-***-**** Atlanta, GA SUMMARY

Data Engineer with 3+ years of experience building scalable data pipelines, optimizing ETL workflows, and architecting cloud- based solutions on AWS and Azure. Expert in Python, T-SQL, SQL, and big data technologies with a strong background in data architecture, modeling, and advanced analytics. Proven ability to enhance data accessibility, boost performance, and deliver actionable insights that empower business decisions. Recognized for translating complex datasets into clear, strategic outcomes that drive efficiency.

TECHNICAL SKILLS

• Programming Languages: Python (pandas, NumPy, LangChain, scikit-learn, PyTorch, TensorFlow), R, PySpark, SQL

• Data Tools: Alteryx, Talend, Apache Airflow, DBT, Docker

• Database Systems: PostgreSQL, Microsoft SQL Server, Snowflake, MongoDB

• Machine Learning: Classification, Regression, Clustering, PCA, Large Language Models (LLM)

• Data Visualization: Microsoft Power BI, matplotlib, Plotly, Tableau

• Certifications: Google Data Analytics, Python Specialization, DP-900 Azure Data Fundamentals, Databricks Fundamentals WORK EXPERIENCE

Site Reliability Engineer, The KeelWorks Foundation, Boston, MA February 2025 – Present

• Improved system visibility across 30K+ user interactions by engineering scalable data pipelines using Gmail API logs and Workspace metadata, enabling real-time anomaly detection, faster incident triage, and risk mitigation.

• Optimized operational efficiency by automating Google Workspace account creation/deletion and Excel-based data extraction workflows, mentoring junior data engineers on automation best practices to scale process improvements.

• Enhanced operational intelligence reporting by developing interactive Power BI dashboards from processed Workspace logs to track user activity, identify phishing trends, and provide actionable insights for leadership decision-making.

• Achieved 94.9% uptime reliability by integrating AWS CloudWatch alerts to monitor system health and performance metrics, accelerating issue response times, reducing downtime, and improving overall system stability. Data Engineer, Physis Investment, Boston, MA January 2024 – August 2024

• Streamlined data accessibility for dashboards, stakeholders, and chatbot interfaces by designing and deploying a scalable data pipeline that integrated 330+ ESG indicators into a centralized financial ecosystem, enabling faster access to insights.

• Increased classification accuracy and response relevance by 90% through engineering advanced text embedding and vectorization workflows, significantly enhancing Impact Chat’s sustainable scoring algorithm and overall model performance.

• Boosted chatbot engagement by 77% by integrating LLM-powered workflows using LangChain and OpenAI, delivering faster, context-aware intelligent Q&A and improving user interaction quality.

• Reduced issue diagnosis time by 85% and improved system stability by deploying robust API monitoring and alerting with AWS CloudWatch and Boto3, while orchestrating multi-step SQL transformations to speed up data retrieval. Operations Manager, Northeastern University, Boston, MA January 2022 – December 2024

• Ensured 95% regulatory compliance by building scalable data pipelines with AWS Glue and Snowflake, enabling automated audit reporting, and strengthening security operations.

• Accelerated incident reporting by 53% by automating workflows to process 500+ campus security reports into structured datasets, and delivering interactive Power BI dashboards to visualize trends, prioritize responses, and support real-time decision-making.

Data Analyst, St. Louis University, St. Louis, MO May 2020 – January 2022

• Accelerated campaign engagement and conversions by 37% by building ETL pipelines with Python and Snowflake to streamline digital ad performance tracking and deliver actionable insights.

• Increased campaign efficiency by discontinuing underperforming ads through Tableau analysis of 11 Facebook Superhero U competition campaigns and achieving 92% data accuracy with a custom validation framework and performance dashboards. EDUCATION

Northeastern University, Boston, MA September 2022 – December 2024 Master of Science in Information Systems

University of Mumbai, Mumbai, India August 2018 – June 2022 Bachelor of Engineering in Electronics and Telecommunication

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