Hire the Best Data Engineers
in Argentina

Most data engineers can write code and connect APIs. But building a data architecture that actually drives business decisions requires understanding the human behavior behind the numbers. With over 14 years of cross-functional experience, I specialize in designing scalable data pipelines and dashboards that turn raw, messy data into clear, actionable business insights. My background is atypical but highly effective: I combine the technical rigor of an Electronic Engineer, the strategic vision of an MBA, and the behavioral insights of a Psychology degree (currently in my final year). This unique mix allows me to go beyond just moving data from point A to point B. I understand the business logic, the financial metrics, and the user behavior you are trying to measure. 🔥 Core Expertise & Tech Stack: Data Engineering & Architecture: Google Cloud Platform (GCP), BigQuery, SQL, Python. ETL/ELT Pipelines: Fivetran, Airbyte, Weld, custom API integrations. Data Transformation: dbt, Dataform. Data Visualization & BI: Looker Studio, Google Sheets, Pandas/Plotly. 📈 Professional Journey Highlights: My experience ranges from acting as a Chief Data Officer (CDO) for software companies to managing complex international operations (including 3 years based in Shanghai, China). I have a proven track record of optimizing architectures, automating workflows, and building data cultures from the ground up. Whether you need to set up a robust data warehouse from scratch, fix broken ETL pipelines, or design dashboards that your stakeholders will actually use, I can help. Let’s connect and discuss how we can build a data architecture that truly serves your business goals.

Businesses don't lose opportunities because they lack data, they lose them because they can't trust it. I help B2B companies, lead generation agencies, and growing teams improve the quality, reliability, and scalability of their data operations by combining automation, data quality assurance, and human validation. My work focuses on solving operational and technical bottlenecks that directly impact business performance, including: • Automating lead acquisition and data collection workflows. • Cleaning, enriching, and maintaining B2B prospect databases. • Auditing AI-generated data and validating outputs through Human-in-the-Loop (HITL) quality processes. • Improving the reliability of data pipelines used for sales, research, and AI-assisted workflows. My background combines Data Operations, Quality Assurance, Process Optimization, and Python-based automation. I've worked on projects involving business intelligence, AI training, regulatory data extraction, market research, and large-scale B2B data management for international organizations. Core expertise includes: ✔ Data Operations & Data Quality ✔ AI Output Quality Assurance (Human-in-the-Loop) ✔ B2B Lead Database Management ✔ Python Automation & Web Scraping ✔ SQL, APIs & Workflow Automation ✔ Data Cleaning & Enrichment ✔ Process Standardization & Continuous Improvement I work best with organizations that depend on reliable business data to support sales, AI workflows, or strategic decision-making. Whether you need to automate repetitive data processes, improve database quality, or add human validation to AI-generated outputs, I deliver structured, scalable, and quality-focused solutions. If your business relies on accurate data, let's build workflows you can trust.

🏆 Top Rated Plus 🌟 100% Job Success 🤝 Satisfied Clients ⏱ Quick Turnaround 📞 Clear Communication Why work with me? Proven Experience: 💎 Backed by 15+ years of delivering results through scalable, cost-efficient data solutions. Technical Expertise: 💎 AI-Data Architecture: I deliver real-world-ready data through automated, reliable pipelines. The new AI era requires a new data platform. 💎 Conversational Analytics & AI Agents: Enable users to chat with their data through AI-driven interfaces. Google Conversational Analytics API and Gemini Enterprise 💎 Data Visualization: Skilled in Looker, Looker Studio, Power BI, Tableau, Superset, and others. 💎 Data Web Portals: Skilled in developing custom embeddable solutions and full web platforms under your own brand and domain. 💎 Database Management: Expertise in SQL (BigQuery, SQL Server, Oracle, MySQL, PostgreSQL, Snowflake) and NoSQL systems. 💎 ETL: Experience with both streaming and batch pipelines using Airflow, Apache Beam, Kafka, Debezium, Pub/Sub, and others. 💎 Data Modeling: Proficient with dbt, Dataform, and PySpark. 💎 Version Control: Comfortable with Git-based tools (GitHub, Bitbucket, GitLab, Azure DevOps). 💎 Cloud Platforms: Certified and experienced in GCP, AWS, and Azure. 💎 Unstructured Data: JSON, XML, Excel, Google Sheets. 💎 GA4 Data: Google Analytics 4 for advanced analysis. Soft Skills & Work Ethic: 💎 Versatile & Adaptive: Quick to learn new tools, roles, and business domains. 💎 Value-Driven: Focused on delivering high-impact outcomes with cost-efficiency. 💎 Detail-Oriented: Committed to precision and quality in every task. 💎 Reliable & Time-Conscious: Consistent delivery of high-quality work on time. 💎 Leadership: Capable of guiding teams and leading initiatives when needed. 💎 Analytical: Skilled at breaking down complex problems and finding effective solutions. 💎 Collaborative: Strong team player, effective in multidisciplinary environments. Scalable Technical Capacity: I’m supported by a network of 15+ specialists, including Solution and Data Architects, Developers, Designers, Process Specialists, DevOps Engineers, Machine Learning Engineers, Data Scientists, Data Analysts, and more. We work collaboratively to ensure your project receives the strongest possible technical support, from strategy to execution. How I approach projects: - Kick-off meeting to review requirements and deliverables - Action plan development using a project management tool - Weekly demo meetings to showcase progress - Detailed time and task tracking - Continuous feedback loop to ensure alignment and improvement - Complete documentation of the solution

Based in Argentina (UTC - 3), competitive price points (low COL). Significant discounts for big projects (more than 30 hours/week). SR data engineer and data architect. Team lead at Vordentech. Personal skills •Analytical and quality-oriented. I am interested in researching best practices and creating solutions that are resilient and work in general contexts. In the long term, 5-stars systems pay off the extra effort. • Communicative. I don't like waiting for 3 days to receive a reply, so I don't do that to others. You can expect fast feedback from me, at the very least a "I'll get back to you ASAP". Also, If I think you’re wrong in you're requirements, I’ll tell you and suggest alternative solutions :) Besides, I consider myself a friendly person and approachable person, who loves to help my colleagues whenever I can! Technical skills —— Data Engineering • Expertise in Python: I ranked in the top 15% out of 1.3 million people on the LinkedIn Python assessment (see portfolio). • SQL • ETL/ELT with Python, Databricks (Pyspark), DBT, Dagster, Airbyte and a lot of AWS services. • Python Google Style Guide. • Agile, Extreme Programming (XP) & Clean Code (and Google Python Style Guide) —— Cloud/DevOps • AWS: Batch, Step Functions, Glue, Athena, Boto3, Lambda, S3, EC2, IAM, KMS, SQS, etc. • Bash. Docker + ECS. CI/CD - Github actions. Terraform, SAM, CodePipeline.

I’m a data engineer with 4+ years of experience building reliable and scalable data solutions. I work with AWS, Python, and Snowflake to design fast, efficient pipelines that connect multiple data sources and make information easy to use. I’ve led projects integrating APIs, databases, and flat files into Snowflake, improving query performance and reducing costs through smart AWS optimization. I’m always learning new tools and best practices to deliver modern, future-proof solutions. Currently exploring AI integrations! Let’s turn your data into a valuable asset for your business.

Hello! I'm an AI Engineer specializing in Machine Learning, Generative AI, and intelligent workflow automation. I currently work as an AI Engineer at a software company, where I design and deploy AI solutions that move from prototype to production. I have over four years of experience in Artificial Intelligence, beginning my career contributing to the training and evaluation of large language models for companies such as Scale AI and TELUS Digital AI. Today, my focus is on building practical AI systems that create measurable value for businesses. I'm also the founder of MENTAT, an initiative driven by the belief that state-of-the-art AI should be accessible to organizations of every size. Through MENTAT, I design AI-powered solutions that automate processes, improve decision-making, and integrate seamlessly into existing business workflows. My technical expertise includes: • Machine Learning with Python (NumPy, Pandas, XGBoost, Matplotlib) • Generative AI applications and LLM integration • AI Agents and multi-agent systems • Retrieval-Augmented Generation (RAG) • Workflow automation with n8n • AWS, Docker, Render, and cloud deployment • Supabase, PostgreSQL, and vector databases • REST APIs and end-to-end AI system integration • Specification-driven software development I can help you with: * AI agents and intelligent assistants * Business process automation * Machine Learning models and predictive analytics * RAG systems and knowledge bases * Custom AI applications * End-to-end deployment and production-ready AI solutions Additional skills: * Fluent in English and Spanish * Full project management from concept to deployment * Linux, LaTeX, Photoshop * Python, C++, and Fortran * Clear, proactive, and consistent communication throughout every project If you're looking for an engineer who can transform AI ideas into reliable production systems, I'd be happy to discuss your project.