Hajira Noreen Moeed
Bolingbrook,IL
Summary
Highly analytical, solutions-oriented, and technically robust Data Professional with a Master’s in Applied Data Science from the University of Chicago and 5+ years of experience within major financial institutions. Expert across the entire application lifecycle, seamlessly bridging the gap between business strategy, data engineering, and production platform stability. Proven track record of managing high-stakes incidents, troubleshooting complex ETL pipelines, defining system requirements, and performing root cause analysis using Python, SQL, and Microsoft Azure infrastructure. An efficiency-driven professional who excels at automating manual operational workflows, optimizing platform uptime, and orchestrating multi-team technical integrations to ensure strict compliance and zero downtime.
Overview
1
1
Certification
6
6
years of professional experience
Work History
Application Support Analyst
Societe Generale
Chicago, USA
03.2025 - Current
- Delivered high-tier technical support for critical financial applications, monitored system health, and prioritized production incidents based on impact to ensure platform integrity
- Investigated complex application bugs, system anomalies, and data discrepancies using Python and SQL, conducted root cause analysis to establish data quality monitoring frameworks
- Automated recurring business intelligence applications and reporting pipelines using Python (Pandas) and SQL, reducing manual support overhead by 40% and ensuring on time delivery of critical metrics
- Designed and maintained interactive Power BI and Tableau dashboards to monitor system health and key trading KPIs, dramatically enhancing operational visibility for business users and senior management
- Collaborated with data, development, and business teams to translate complex business needs and user journeys into technical requirements, workflows, and system enhancements
Data Engineer Programmer Analyst
Societe Generale
Chicago, USA
01.2022 - 03.2025
- Designed and implemented scalable ETL pipelines using PLSQL and Python, processing large datasets and transforming raw data into structured, actionable insights to support real-time data analytics and business intelligence
- Engineered data transformation processes integrating diverse data sources, ensuring accuracy and consistency across databases using SQL and Python scripts
- Implemented CI/CD tools like Apache Airflow, Jenkins, and GitHub Actions for the automation and orchestration of data pipelines, significantly reducing manual effort and achieving a 25% increase in workflow efficiency
- Led a data migration project using Java, Spark, and Hadoop, transferring legacy Oracle databases to a cloud infrastructure in Microsoft Azure, optimizing storage using distributed computing principles and ensuring zero downtime during transitions
- Developed interactive Tableau and Power BI dashboards, enabling business stakeholders to visualize key performance metrics, leading to a 15% improvement in decision making efficiency
- Automated recurring tasks with Python pandas library and integrated JIRA API, reducing manual effort and improving operational efficiency
- Participated in agile sprints, conducted UAT testing, and documented data flow diagrams and business logic for data-driven projects, supporting system enhancements and compliance
Technology Summer Analyst Intern
Societe Generale
Chicago, USA
06.2021 - 08.2021
- Developed and executed Python scripts for data reconciliation, enhancing data accuracy for high-volume data matching platform
- Collaborated with offshore teams to enhance SQL scripts, achieving 20% reduction in data processing time and minimizing data anomalies
Loan Processing Specialist
Wintrust Mortgage
Rosemont, USA
08.2020 - 12.2020
- Managed and processed loan records to ensure timely clearance of credit and debit activities, contributing to increased loan processing efficiency
- Monitored loan requests and inquiries while maintaining meticulous records and ensuring compliance with internal guidelines
- Processed loan applications for accuracy and completeness.
- Reviewed documentation to ensure compliance with regulatory standards.
- Collaborated with team members to streamline processing workflows.
Education
Master of Science - Applied Data Science
The University of Chicago
Chicago, ILBachelor of Business Administration - Business Analytics
Benedictine University
Lisle, ILCertification
- Microsoft Power BI Data Analyst Associate
- Microsoft Azure Data Engineer Associate
- Microsoft Azure Data Fundamentals
Skills
Python (Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib), R, Java, SAS, FIX Protocol, Microsoft Azure, Azure Synapse, Google Cloud Platform (GCP), Linux VM Management, Unix Command Line, Pyspark, Hadoop, SQL, PL/SQL, Oracle Database, PostgreSQL, MySQL, Data Lineage, Data Quality Monitoring, ETL Pipeline Troubleshooting, Data Warehousing, Data Lake, Production Support (L1/L2/L3), Incident & Problem Management, Root Cause Analysis, SLA Adherence, Ticket Lifecycle Management, Release Management, System Health Monitoring & Alerting, Github, Git Bash, Jenkins, UC4, Automation Apache Airflow
Timeline
Application Support Analyst
Societe Generale
03.2025 - Current
Data Engineer Programmer Analyst
Societe Generale
01.2022 - 03.2025
Technology Summer Analyst Intern
Societe Generale
06.2021 - 08.2021
Loan Processing Specialist
Wintrust Mortgage
08.2020 - 12.2020
Master of Science - Applied Data Science
The University of Chicago
Bachelor of Business Administration - Business Analytics
Benedictine University