Summary
Overview
Work History
Education
Skills
Websites
Certification
Accomplishments
Timeline
Generic

Cosmin Mihai Ene

Backend/Data Engineer
Cluj-Napoca

Summary

Experienced Backend Engineer and Data Specialist with over 6 years of expertise in Python development, large-scale web scraping, LLM-powered data aggregation, serverless solutions, and automation engineering. Skilled at optimizing infrastructure costs, scaling data acquisition systems, and delivering robust, production-grade ETL pipelines. Committed to writing clean, testable code and passionate about tackling complex data challenges while driving digital innovation

Overview

8
8
years of professional experience
3
3
years of post-secondary education
3
3
Certifications
3
3
Languages

Work History

Web Scanner(Scraping) Engineer | Python 3.10+ | Senior

Argyle
02.2023 - 03.2025
  • Company Overview: Argyle is a payroll connectivity platform providing real-time, consumer-permissioned access to income and employment data, enabling automated verifications, direct deposit switching, wage advances, and more.
  • Proposed and led an LLM-powered data aggregation initiative, increasing structured company data coverage by 100% in just one month.
  • Collaborated with the Network Growth team to design and implement the solution, aligning engineering efforts with data acquisition goals.
  • Reduced infrastructure costs by 99% (from $10,000/month to ~$100) through smart LLM automation.
  • Maintained the health of automated scraping systems in a fast-paced, reactive environment, handling tasks such as bypassing CAPTCHAs and anti-bot protections, scraping and reverse-engineering websites, mimicking human-like behavior, analyzing network calls, and deploying man-in-the-middle techniques to ensure uninterrupted data flow.

Data Engineer | Python | PostgreSQL | Mid-Senior Backend

LavaMap
11.2022 - 01.2023
  • Company Overview: LavaMap is a real estate platform delivering data-driven insights on NYC properties, with fast search, full property records, and mapping tools for real estate professionals.
  • Boosted data retention and accuracy by 70% through optimized web scraping and ETL pipeline strategies.
  • Built an automated pipeline to dynamically update PostGIS map layers using NYC Department of Finance digital tax map data.
  • Enhanced full-text address search functionality by 100% by analyzing and fixing core system issues.
  • Contributed to QA testing, improving platform stability and user experience.

Data Engineer | Python | SQL Server | Mid Backend

Nancy Packes, Inc.
12.2019 - 09.2022
  • Company Overview: Real Estate Consulting Client - A NYC-based firm supporting residential developers across acquisition, finance, and marketing, including enterprise clients like JPMorgan Chase & Co. Faced challenges in managing internal and third-party data, and delivering new features at scale.
  • Resolved 90% of database bugs and data issues by identifying broken processes and fixing data inconsistencies.
  • Improved SQL query performance by 70% through smarter indexing, query refactoring, caching, and offloading legacy logic to automated Python-based pipelines using modern libraries.
  • Enhanced job failure detection by 100% with real-time health monitoring and alerting systems for key data processes.
  • Migrated 60% of legacy back-end code from .NET Windows bots to efficient, scalable Python 3.8 applications, including data loaders, web scrapers, and third-party API integrations.
  • Reduced third-party tool costs by 30% by building an in-house OCR solution using OpenCV and machine learning for document parsing and data extraction.

Python | .Net | SQL | AWS | Mid Backend

TripMasters
09.2021 - 06.2022
  • Company Overview: Vacation Customization Client - A U.S.-based travel company offering personalized vacation packages across Latin America, Europe, Asia, and the Pacific.
  • Migrated 30% of Windows automation scripts to AWS Lambda, rewriting .NET Framework bots in Python 3.8 using modern libraries for improved scalability and maintainability.
  • Increased product team delivery speed by 20% by building internal tools to automate data processing from Excel, CSV, and database sync tasks.
  • Fixed 30% of reported automation bugs, enhancing system reliability and reducing manual intervention.
  • Refactored legacy jobs into scalable cloud pipelines using AWS Batch, streamlining execution of heavy workloads.
  • Moved 20% of local file storage to AWS S3, improving access, durability, and reducing dependency on Windows infrastructure.

Python | Ruby | Angular2 | Junior Full-Stack

Sortlist
08.2018 - 07.2019
  • Company Overview: Sortlist - An innovative online platform connecting businesses with marketing and communication agencies.
  • Improved database query performance by 30% by analyzing and optimizing long-running SQL queries.
  • Developed API endpoints with Python (Flask) to support an AI-driven business matching system, enhancing speed and accuracy of recommendations.
  • Gained hands-on experience in both Angular and Ruby on Rails by debugging and resolving frontend and backend issues across the platform.

Perl | SQL | Intern Backend

PropertyShark.com
07.2017 - 10.2017
  • Company Overview: PropertyShark - A real estate data platform offering property reports, foreclosure listings, comps, and tools for real estate professionals and investors.
  • Optimized malfunctioning web scrapers by improving regex-based extraction logic, increasing data reliability and efficiency.
  • Migrated scheduled jobs from cron to Jenkins, enhancing task automation, visibility, and workflow control.
  • Gained hands-on experience in a corporate engineering environment, including team collaboration, task planning, and execution in a structured setting.

Education

Bachelor's degree - Computer Science

Universitatea "Babeș-Bolyai" din Cluj-Napoca
Cluj-Napoca, Cluj
01.2016 - 01.2019

Skills

  • Python

  • Databases

  • Scraping

  • Reverse Engineering

  • Man In the Middle

  • Networking

  • ChatGPT/OpenAI Integrations

  • LLM-powered data aggregations

  • AWS/Serverless/Cloud

  • Docker/Bash

Certification

Programming Foundations: Design Patterns

Accomplishments

  • Achieved major cost reductions by implementing modern, in-house solutions: replaced outsourced data extraction (previously $2 per entity, totaling ~$10K/month) with a custom LLM agent, lowering costs to just a few hundred dollars per month. Also built an AI-powered OCR system that eliminated a $5K/month third-party subscription for document data extraction.
  • Optimized automation performance, reducing process times from several hours or minutes to just seconds by analyzing function efficiency and applying concurrency through asynchronous calls where appropriate.

Timeline

Web Scanner(Scraping) Engineer | Python 3.10+ | Senior

Argyle
02.2023 - 03.2025

Data Engineer | Python | PostgreSQL | Mid-Senior Backend

LavaMap
11.2022 - 01.2023

Python | .Net | SQL | AWS | Mid Backend

TripMasters
09.2021 - 06.2022

Data Engineer | Python | SQL Server | Mid Backend

Nancy Packes, Inc.
12.2019 - 09.2022

Python | Ruby | Angular2 | Junior Full-Stack

Sortlist
08.2018 - 07.2019

Perl | SQL | Intern Backend

PropertyShark.com
07.2017 - 10.2017

Bachelor's degree - Computer Science

Universitatea "Babeș-Bolyai" din Cluj-Napoca
01.2016 - 01.2019

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Cosmin Mihai EneBackend/Data Engineer