Maxim Carp-Bezverhnii
Expertise and Specialization
➔ Data Engineering: SQL/NoSQL Databases, Data Modeling, ETL Pipelines, Data Warehousing.
➔ Cloud Engineering: Solution Architecture, Infrastructure Design & Deployment (e.g., GCP, AWS, Azure) and
Cloud Cost Analysis/Optimization
➔ Python Programming & Automation: Cloud and On-Premise Application Development, Python Scripting,
Web Automation (e.g., Selenium, Playwright), Data Mining, Web Scraping
➔ Financial Data & Systems: Financial Instruments and Identification Systems (e.g., RIC, ISIN, FIGI, Ticker),
Stock Exchanges, Market Data Vendors (e.g., Refinitiv/LSEG, Morningstar, Bloomberg), Open Source Data
(e.g. OpenFIGI, Yahoo Finance), Financial Data (e.g., NAV data, Financial Metrics, Corporate Actions Data)
➔ Agile Methodology: Proficient in Agile frameworks, sprint planning, and collaborative development
Experience
Self-employed
Freelancer
Lisbon, Portugal
Jul 2025 - Present
Providing consulting and advisory services to startups and enterprises. Focus areas include data engineering, cloud
architecture, ETL pipelines, automation, MVP product development, and building or integrating external teams.
Benzinga
Lisbon, Portugal
Benzinga is a financial media and data company known for providing real-time news, market analysis, and actionable insights
for investors and traders.
Financial Data Engineering Consultant (Contract)
May 2025 - Aug 2025
● Building scalable mapping workflows to improve financial instrument identification and consistency
● Developed pipelines for real-time financial ingestion
● Designed and implemented AWS-based solutions, integrating multiple data vendors into the company’s
data ecosystem for enhanced coverage and reliability
Self-employed
Lisbon, Portugal
Leveraged expertise in fintech and stock market data to deliver consulting and data-driven solutions to various companies and
clients.
Advisor / Financial Data Engineer / Stock Market Data
Oct 2024 - May 2025
● Led the development of a real-time earnings call transcripts application
● Managed a project to build a comprehensive financial instruments database by integrating referential data
from multiple sources, including open-source platforms like OpenFIGI and commercial data providers.
● Provided training for companies on how to handle and store financial data
● Monitored Google Cloud BigQuery performance and costs while conducting data modeling analysis
● Developed insights to enhance query efficiency, implemented cost reduction strategies, and analyzed data
querying practices to optimize overall system performance
● Developed tools in order to monitor external data vendor consumptions (Refinitiv (DataScope),
Morningstar, OWL (FinMason), etc.)
● Performed monthly reports on external data vendors consumptions
Next Gate Tech
Luxembourg, Luxembourg
Fintech company specializing in the automation of data management and analytics for the financial sector.
Data Engineer
Mar 2023 - Sep 2024
● Led the project on mapping identifiers (ISIN, RIC, Ticker, OpenFIGI/Bloomberg Global ID, etc.) between
multiple exchanges (CME, Euronext, ICE) and data providers (Refintiv, Morningstar, OWL ESG, OpenFIGI,
ClarityAI)
● Developed solution for extraction data from various providers and exchanges
● Worked with time series data at different frequencies, including intraday and end-of-day data
● Build financial data identification systems for financial instruments
● Developed and implemented strategies for incorporating ESG metrics into financial models, including
integration of new pipeline for ESG data extraction
● Managed and implemented data extraction pipelines for Lipper provider (funds prices)
● Integrated and explored API’s for financial entities
● Maintained and optimized existing pipelines
● Worked on data warehousing, modeling and normalization
● Implemented SQL and NoSQL databases
● Worked on pipelines orchestration and data migration tools
● Worked on BigQuery Cost and Query analysis and optimisations
Financial Data Engineer
Jun 2022 - Mar 2023
● Worked with different financial data providers (Quandl/Nasdaq, Refinitiv, Morningstar, FinMason/OWL
ESG, ClarityAI, etc.) and improved existing extraction pipelines
● Led the developments for computational engines / pipelines for such metrics like Delta (using implied
volatility / historical volatility), adjusted prices for dividends and corporate actions, custom price
adjustments and historical volatility
● Worked on maintaining and optimizing databases
● Worked with corporate actions data and integration of it into various solution modules
● Developed solution for validating data coming from different sources
● Create and reported statistics regarding data consumption
● Conducted regular assessments of data vendors to verify compliance with contractual agreements and
regulatory requirements
Data Flow Engineer - Team Lead
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May 2021 - Jun 2022
Led a team responsible for financial data and data vendors
Planned and led the sprints
Developed and integrated API for financial data providers (Refinitiv, Morningstar, Quandl/Nasdaq, etc.)
Managed and developed extraction solutions from different type of systems based on company needs
(FTP/sFTP, Mailbox, API)
Developed new modules and services together with senior management
Built solution in order to harmonize, clean and stream data
Maintained internal financial instruments database
Analyzed financial data from multiple sources and providers
Worked on solution for detection data anomalies
Explored and implemented alternative data sources, contributing to more cost-efficient solutions while
maintaining data quality and relevance
Developed strategies for optimizing data workflows, minimizing redundancy, and enhancing overall data
utilization
Software Engineer / Data Flow Specialist
Jul 2019 - May 2021
● Developed and maintained internal dashboards, modules
● Leveraged GCP services and tools to design end-to-end data pipelines for diverse data sources
● Implemented solutions for extracting structured and unstructured data from various sources, including
databases, APIs, etc.
● Created tools in order to monitor and automate daily tasks
● Worked on configuring and consuming data flows
● Implemented orchestration solution for pipelines using GCP
SmartSoftDev (SSD)
Software Developer
Chisinau, Moldova
Jun 2018 - Mar 2019
● Software research and development
● API integration and automatisation
● Test driven development
Self-employed
Freelancer
Chisinau, Moldova
Jan 2018 - Dec 2019
● Cloud engineering (GCP)
● Tasks automatisation projects
● Custom software development
Predict Labs
Chisinau, Moldova
Predictlabs offers internet marketing solutions, designed to connect advertisers with exposure for their brands through
various sources including email marketing, social networking to search engine marketing.
Engineer / Programmer
May 2015 - May 2016
● LAMP administration
● Front-End development
● Data analysis and statistics
Other Experiences / Projects
Something-Tranding (Pre-Launch Project)
ST - brand's online buzz and engagement patterns reporting platform based on social-media data.
(A project inspired by the Labubu brand story, tried to find early sign patterns in data coming from social
platforms and identify the trends before a topic/product becomes viral.)
YouTube API, Reddit API, Python, Pandas, GCP, JS
Co-Founder: FlowQY (flowqy.com)
Co-founded an AI-powered web data extraction platform that enables no-code scraping of websites,
automating data collection processes for users and businesses.
OpenAI, Python, Next.js, MongoDB, GCP, Google Analytics, Google Ads
Project: Security Master
Developed and populated a referential database by aggregating data from various public sources,
including OpenFIGI and SEC.gov.
Python, AWS (Event Bridge, RDS/Databases - PostgreSQL, SQS, Lambda), OpenFIGI API
Project: Shopify Data Sync
Designed a solution to synchronize data between a Shopify store and a Google Cloud BigQuery database,
enabling comprehensive data insights and analytics.
Python, Shopify GraphQL API, Google Cloud (Cloud Run, BigQuery), Terraform, pandas
Project: Magic Numbers (OCR)
Implemented a real-time number parsing system that captures and processes data from multiple sources
using Selenium and OCR.
Python, easyocr, cv2, numpy, Selenium
Project: Earning Call Transcript
Developed a live transcription system for earnings call streams, providing real-time transcription.
Python, Open AI API, selenium, AWS, AssemblyAI
Education
42 (School)
Information Technology
2017 - 2018
Academy of Economic Studies of Moldova
Bachelor's degree, Economic Cybernetics, Statistics and Informatics
2014 - 2017
Language Skills
● Mother tongue(s): Moldavian, Romanian, English, Russian
● Other language: French (B1-B2)
Hobbies and Interests
● Surfing, Gym, Traveling, Skiing, Tennis, Padel, Cooking
Others
● Driving Licence: B
