Aug 2025 – Present · 10 mos · Illinois, United States

• Support graduate recruitment efforts by assisting with information sessions, webinars, social media engagement, and special events to attract and connect with prospective students.
• Manage prospective student communications through the Unibuddy platform, ensuring inquiries receive timely, personalized responses within one business day.
• Collaborate with iSchool staff to plan and execute recruitment initiatives, contributing to strategies that enhance the graduate program’s visibility and strengthen engagement with candidates.

Jan 2025 – Present · 1 yr 5 mos · Illinois, United States · On-site

• Leading data engineering initiatives for real-world client projects, translating business needs into scalable data and analytics solutions.
• Designing and maintaining ETL pipelines in Python and SQL to integrate multi-source business data into unified cloud storage systems.
• Developing and experimenting with Agentic AI workflows and AI-powered chatbots to automate data insights and enhance client engagement.
• Collaborating with cross-functional teams of analysts and consultants to deliver impactful BI dashboards and technical documentation.

Aug 2021 – Jul 2024 · 2 yrs 11 mos

• Architected a metadata-driven ELT framework using Kafka for real-time ingestion and ADF for batch pipelines, integrating SQL Server, Oracle, MongoDB, SFTP, APIs, ADLS, and AWS S3 into Snowflake-ready datasets for the enterprise Customer 360 system.
• Built Snowflake models in dbt Cloud to standardize business metrics, enforce data tests, and improve downstream lineage visibility, strengthening governance and ensuring consistent analytical outputs.
• Developed Python and Spark SQL transformation modules to standardize, cleanse, and aggregate relational and NoSQL data, improving pipeline efficiency and enabling parallel processing across the Databricks cluster.
• Enhanced Spark job performance by leveraging Delta Lake optimizations (partitioning, Z-Ordering, file compaction), achieving a 50% improvement in query latency and reducing overall compute costs.
• Automated data ingestion and orchestration workflows via parameterized ADF pipelines and event triggers, cutting down manual intervention by 30+ hours monthly and improving operational throughput.
• Detected and resolved data inconsistencies through detailed pipeline log analysis, implementing new data governance rules that enabled zero production downtime post-UAT.
• Collaborated with data scientists, analysts, and QA teams to deliver KPI and monetization pipelines that generated ~$500K in revenue impact across retail verticals.

Jan 2017 – Jan 2018 · 1 yr

• Designing and running campaigns on social media platforms.
• Representing Meta’s brand in front of peers, conducting sessions, and conveying key initiatives.
• Understanding student trends, gathering feedback, and reporting insights to improve engagement.
• Building networks, encouraging adoption of Meta tools or platforms, and growing brand presence.
• Taking ownership of brand outreach and being the point-of-contact between Meta and my campus.