Data Engineer with AWS and SQL Expertise

Shraddha Bhandarkar

*******************@*****.*** 857-***-**** GitHub LinkedIn Tableau Public Portfolio PROFESSIONAL SUMMARY

Data Engineer with 2+ years of experience building ETL pipelines, processing large datasets using SQL, Python, AWS. Proven expertise in data modeling, statistical analysis, translating business needs into scalable solutions for customer behavior insights. EDUCATION

Northeastern University Sept 2023 - May2025

Master of Science in Information Systems Boston, MA Relevant Courses: Data Analysis and Visualization, Business Analysis, Generative AI, Big Data Engineering University of Pune Aug 2017 - May 2021

Bachelor of Engineering, Major in Information Technology Pune, India Relevant Courses: Data Structures, Database Management, Operation Systems, Agile Methodologies PROFESSIONAL EXPERIENCE

Data Engineer GA Jan 2024 – May 2025

Northeastern University – Admissions & Advising Office Boston, MA

• Built automated data pipelines using SQL and Python to track form submissions, reducing processing times by 25%

• Implemented data modeling and validation processes using SQL to identify academic mismatches, reducing errors by 30%

• Designed ETL processes with cross-functional teams to analyze form workflows, resolving bottlenecks and reducing delays

• Collaborated with IT teams to architect cloud data solutions using AWS, improving fault tolerance in submission systems Associate Engineer July 2021 - July 2023

Nice Systems Pune, India

• Supported AML and KYC compliance implementations by gathering requirements from Banking clients, translating regulatory policies into functional specifications for fraud detection systems

• Developed comprehensive documentation for AML/CDD processes, risk assessment workflows, supporting implementation for major banking clients and ensuring audit compliance

• Built KYC reporting solutions using SQL and BI tools for credit bureau data integration (Moody's, Fitch, S&P), improving compliance monitoring and reducing manual review effort by 10+ hours weekly

• Led CDD process during cloud migration, working with Banking clients to ensure continuity of regulatory reporting

• Implemented fraud monitoring dashboards, translating complex regulatory requirements into configurable business rules

• Supported change management for Actimize system by creating compliance training materials & process documentation

• Honored with Individual Recognition Award for supporting data-driven improvements across departments Data Analyst Intern June 2020 - Sept 2020

MedTour Easy Pune, India

• Developed ETL process using SQL and Python to clean healthcare claims data, optimized billing systems using A/B testing

• Built data aggregation workflows for patient intake analysis, applied causal inference to identify capacity planning factors

• Identified data pipeline bottlenecks using Tableau dashboards to improve process-level performance and patient outcomes

• Designed controlled experiments for data integration improvements, enhancing reliability in external system connections PROJECTS

Jira Insights with Snowflake OpenFlow & Cortex LLM [GitHub] Snowflake, OpenFlow, Cortex, Jira Connector, dbt, AWS

• Integrated Atlassian Jira into Snowflake using API connectors, building ETL pipelines with near real-time data processing

• Designed end-to-end data warehousing pipeline for ticket metadata ingestion, applying dbt transformations, SQL modeling

• Built platform for Jira analysis with Python, SQL, implemented statistical models to see sprint patterns, productivity insights

• Applied data engineering practices maintaining pipeline reproducibility, automated workflows, structured data architecture CFA Institute Research Data Integration and Analysis [GitHub] FastAPI, Streamlit, AWS, Snowflake, Airflow, Pinecone

• Automated ingestion and validation of 100K+ financial records with Snowflake and Airflow, reducing review effort by 60%

• Created Streamlit dashboards to track real-time data trends and surface performance issues for analysts

• Built modular pipelines on AWS to deliver faster research summaries with data lineage and audit tracking Health-Fitness Bot [GitHub] FastAPI, Python, Streamlit, Docker, HuggingFace

• Applied linear regression, classification trees on 15+ health metric to optimize chatbot recommendation, predict engagement

• Performed EDA across 500+ logs to surface anomalous interaction trends, helping refine model logic and response accuracy

• Created dashboard with Streamlit with statistical modeling to forecast user engagement trend, optimize performance metrics SKILLS

Programming: Python, SQL, R

Data Analysis & Visualization: Tableau, Power BI, Excel, Alteryx, Talend, Airflow, Streamlit Cloud & Data Engineering: AWS, GCP, Azure Data Factory, Snowflake, Jenkins, Docker

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