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Wendel Farias Lopes
Applied AI & Data Systems Engineer
Professional Summary
Wendel Farias Lopes is an Applied AI & Data Systems Engineer with a multidisciplinary background in physics, mathematics, and philosophy, and extensive experience in data engineering, analytics, cloud systems, and enterprise software delivery.
Core Competencies:
- Data Engineering & ETL Pipeline Development
- Cloud Data Warehousing (Snowflake)
- Business Intelligence & Data Visualization
- Microservices Architecture & CI/CD
- Cross-functional Technical Leadership
Technical Expertise
| Category | Technologies |
| Programming | Java, Python, SQL, Shell Scripting, JavaScript |
| Data Platforms | Snowflake, PostgreSQL, MySQL, MariaDB, Oracle |
| Cloud & DevOps | Google Cloud Platform (GCP), Kubernetes, Docker, TeamCity, Jenkins, Git |
| Data Visualization | Tableau, Streamlit, Snowflake Dashboards |
| Big Data & Streaming | Apache Kafka, Apache Spark |
| Machine Learning | TensorFlow, Keras, XGBoost, Weka |
| Integration | FIX Protocol, REST/SOAP APIs, Kafka, Salesforce |
Professional Experience
Applied AI & Data Systems Engineer | TS Imagine, Montreal, QC
Nov 2024 - Present
Focused on applied AI, data systems, and analytics delivery for capital markets workflows, combining data engineering, modeling, and enterprise software execution.
- Design and evolve data platforms and analytics workflows for trading and post-trade domains, with emphasis on reliability, data quality, and operational clarity
- Build AI-assisted and data-driven solutions across Snowflake, Python, SQL, and visualization tooling to support analysis, reporting, and decision-making
- Collaborate across product, operations, and engineering to translate complex business requirements into scalable technical systems
Key Technologies: Snowflake, Python, SQL, Tableau, Streamlit, Java, GCP, Kubernetes, Docker
Principal Software Engineer | TS Imagine, Montreal, QC
Nov 2021 - Oct 2024
- Architected and optimized Snowflake data pipelines processing millions of trading records daily, improving query performance through SQL optimization and data modeling
- Led cross-border data replication for TCLA Order Events, enabling reliable synchronization across international data centers
- Developed enterprise dashboards and reporting solutions with Tableau and Streamlit for trading analytics, bilateral trading insights, and broker-dealer flow analysis
- Built and maintained automated ETL workflows, CI/CD pipelines, and production support processes across Java, Python, Docker, and TeamCity
Key Technologies: Snowflake, Tableau, Streamlit, Java, Python, Kubernetes, GCP, Docker, Kafka, PostgreSQL, MariaDB, Git, TeamCity, FIX Protocol
Tech Lead Java | Alithya, Montreal, QC
March 2021 - Nov 2021
- Led team of 5 data engineers in designing and executing large-scale database migration from DB2 to Oracle, migrating 2TB+ of enterprise data with zero downtime
- Architected cloud migration strategy from on-premises to Google Cloud Platform (GCP), reducing infrastructure costs by 35%
- Implemented microservices architecture with Docker and Kubernetes, improving system scalability and fault tolerance
- Developed Python and Shell automation scripts for orchestration of complex data workflows, reducing manual intervention by 80%
- Established CI/CD best practices using Jenkins, achieving 90% test coverage and automated deployment processes
Key Technologies: Docker, Kubernetes, GCP, Java Spring Boot, Oracle, DB2, Python, Shell Scripting, Jenkins, Git
Senior Software Engineer | TS Imagine, Montreal, QC
Feb 2019 - March 2021
- Pioneer implementation of Google Cloud Functions for Order Management System (OMS) and Execution Management System (EMS), reducing latency by 50%
- Developed algorithmic trading strategies in collaboration with Portfolio Managers and Data Scientists, generating measurable alpha
- Built real-time data quality monitoring systems ensuring data integrity across trading platforms
- Enhanced FIX protocol connectivity for institutional trading venues, improving order routing reliability
- Deployed machine learning models using TensorFlow for trade execution optimization
Key Technologies: Docker, Kubernetes, GCP, Java, Spark, PostgreSQL, Python, TensorFlow, Keras, Kafka, FIX Protocol
Software Engineer / Data Analyst | Montrusco Bolton Investment, Montreal, QC
June 2016 - Jan 2019
- Engineered Pre-trade, Trade, and Post-trade processing systems using FIX protocol for institutional trading workflows
- Developed portfolio simulation engine for risk analysis and performance attribution
- Implemented smart allocation algorithms for optimal trade execution and liquidity management
- Applied blockchain technology for secure and confidential transaction processing
- Built CI/CD automation framework reducing deployment time from hours to minutes
Key Technologies: Java Spring Boot, PostgreSQL, MySQL, Python, Kafka, TensorFlow, Keras, FIX Protocol
Software Developer | WizardMenu, Montreal, QC
Sept 2014 - June 2016
- Designed machine learning recommendation engine using neural networks and Bayesian networks, increasing user engagement by 45%
- Developed optimization algorithms applying Pareto principle and fuzzy logic for budget allocation
- Built GIS-based proximity search using PostGIS for geographical coordinate mapping
- Implemented text similarity algorithms using cosine similarity and Levenshtein distance for content matching
- Integrated USDA Food Composition Database API and payment gateways (PayPal, FreshBooks)
Key Technologies: Java EE, Spring Security, PostgreSQL, MySQL, Machine Learning, PostGIS, REST APIs
Software Engineer | Government of Federal District of Brazil
Sept 2010 - June 2014
- Led enterprise data consolidation project migrating Excel/Access data to centralized PostgreSQL database
- Executed technology modernization initiative transitioning from Microsoft to open-source stack, saving $200K+ annually
- Built business intelligence platform for Technology and Design operations
- Developed GIS applications for facility management with geographical coordinate systems
Key Technologies: Java, Oracle, MySQL, PostgreSQL, JSP, Servlets, Shell Scripts
Education
Master of Science (MSc) in Information Technology
Université du Québec à Montréal (UQAM), Montreal, QC | 2015
Bachelor of Science (BSc) in Physics
University of Brasília, Brazil | 2003
Professional Certifications
- Neural Networks and Convolutional Neural Networks Essential Training (2021)
- Building Deep Learning Applications with Keras 2.0 (2021)
- RESTful Spring Boot Microservice with JPA (2020)
Key Achievements
- 538+ production tickets delivered with 98% completion rate over 4+ years
- 15+ enterprise dashboards serving real-time analytics to C-suite executives
- 40% query performance improvement through Snowflake optimization
- Zero-downtime migrations for critical financial data systems
- 99.9% data accuracy maintained across reporting platforms
Languages
- English: Fluent (Professional Working Proficiency)
- French: Intermediate
- Portuguese: Native
Portfolio & Projects