About
Summary
Dynamic Data Engineer with proven expertise in building and scaling data pipelines both on-premises and in cloud environments. Skilled in optimizing ETL processes and leveraging big data technologies to transform complex datasets into actionable insights. Committed to enhancing data architecture and ensuring data integrity to support strategic, data-driven decision-making.
Positions
Data Engineer Jun 2024 -
Data Engineer (FTC, Hybrid) — MetLife, Tokyo, Japan 06/2024–present
Transaction 360 (T360): call - center data modernization; 24/7/365 availability
• Designed/maintained Hadoop and Azure Synapse pipelines (Scala/Spark/Kubernetes), secure
storage and access, CI/CD automation.
• Key Achievements: 75% faster validators (parallel Scala); 75% faster curation (SQL/CTE refactors); 76% faster transforms (ADLS partitioning/I/O); tuned Cosmos DB throughput; seeded multi - stage CI/CD for Maven builds and Synapse promotion; $500k/year cost savings via algorithmic and runtime right - sizing; improved sprint velocity by 20% as Scrum Master.
• Ingestion & CDC: Qlik Replicate for SQL Server/Oracle to Azure; Raw/Curated/Transformed zones in ADLS (Parquet/JSON).
• Curated/Transformed: CDC - aware accumulated views; daily snapshots with soft - deletes; optimized SQL + Spark for performance.
• Serving: Azure Data Flows to Cosmos DB (history/detail views); batch and partition tuning for
consistency and throughput.
• Observability/FinOps: Azure Monitor dashboards/alerts; automated failure diagnostics; cost control via query and runtime tuning.
• Stakeholder products: Feature - ready datasets for BI and AI/LLM consumers; authored runbooks
and BRDs; mentored juniors.
Open - Source Database Developer (Freelancer) Jun 2024 - Dec 2024
• Built scalable backends for Web3 with MongoDB/Elasticsearch (TypeScript/Node.js/Shell); improved indexing and retrieval performance.
• Strengthened automation, integration, and security across decentralized applications.
Senior Software Developer (FTC, Remote) Jan 2020 - Jun 2024
Education
Georgia Institute of Technology, Atlanta, USA 2024 - 2026
Field of study: Machine Learning
Degree: Mater of Science in Computer Science
Program is full online and is called OMSCS
1. Overall GPA: 3.42 Out of 4
2. Expected Graduation Date June-2026.
3. Course Work
3.1 CS 7280 – Network Science — A
3.2 CS 6603 – AI Ethics Society — A
3.3 CS 8903 – Special Problems — A
3.4 CS 7641 – Machine Learning — A
3.5 CSE 6242 – Data & Visual Analytics — A
3.6 CS 7646 – Machine Learning for Trading — B
4. Special Problems: Human-Augmented Analytics Group (OMSCS Research)
4.1. Terrestrial LiDAR Vegetation Analysis Project
4.2. Grade A
Beihang University 2017 - 2019
Field of study: Aerospace Science and Technology (Space Technology Applications)
Degree: MASTER OF ENGINEERING
1. Overall GPA A/A
2. Overall 30 credit hours courses
3. Graduated with the highest honor as: Excellent International Student.
4. Funded by: Chinese Government Scholarship.
5. Thesis: Design and Implementation of ADCS Control Software for SSS-1P Micro-satellite.
Islamic Azad University Sciences & Research Branch 2013 - 2017
Field of study: Aerospace Engineering
Degree: Bachelor's Degree
1. Overall passed 146 Credits
2. Overall GPA of 16.64 Sixteen point six four out of twenty
3. Thesis Title: Design and Implementation of a PID Controller for a Special Kind of UAV (LQR, PID, GA-PID).