Hire the Best Data Engineers
in Argentina

¸¸♬·¯·♪·¯·♫¸¸ 𝗪𝗲𝗹𝗰𝗼𝗺𝗲 𝘁𝗼 𝗺𝘆 𝗽𝗿𝗼𝗳𝗶𝗹𝗲! ¸¸♫·¯·♪¸♩·¯·♬¸¸ I'm a Senior Data Engineer & Cloud Data Architect. I bridge the gap between fragmented raw data and high-performance, analytics-ready infrastructure. Whether you need to build a scalable data warehouse from scratch, transition from legacy ETL to modern dbt/Databricks stack, optimize costly cloud queries, or power real-time AI/ML applications, I specialize in architecting reliable, zero-downtime data pipelines across AWS, GCP, Azure, Snowflake, and BigQuery. ⚡ 𝐂𝐨𝐫𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 1. End-to-End Modern Data Stack (MDS) & ETL/ELT Pipelines Designing and deploying automated, resilient pipelines that extract, clean, transform, and load petabyte-scale data into centralized analytics hubs. ◾ Batch & Stream Ingestion: Building automated ingestion jobs from SaaS applications, REST APIs, webhooks, and legacy DBs using Fivetran, Airbyte, Kafka, and Debezium (Change Data Capture - CDC). ◾ Analytics Engineering: Modular, version-controlled transformations with dbt (Data Build Tool), custom SQL, and PySpark-complete with automated documentation and lineage tracking. ◾ Workflow Orchestration: Designing DAGs, automated retries, and monitoring alerts using Apache Airflow, Prefect, Dagster, and AWS Step Functions. 2. Cloud Data Warehousing & Lakehouse Architecture (Snowflake, Databricks, BigQuery) Structuring high-efficiency, cost-optimized databases designed for instant analytical querying and BI dashboard performance. ◾ Warehouse Optimization: Clustering keys, partitioning, materialization, micro-partitioning, and query tuning to cut monthly cloud compute/storage costs by 30%–60%. ◾ Lakehouse & Open Table Formats: Architecting Delta Lake, Apache Iceberg, and Hudi layers on AWS S3/GCP Cloud Storage using Medallion Architecture (Bronze -> Silver -> Gold). ◾ Data Modeling: Dimensional modeling (Kimball methodology), Star/Snowflake Schemas, Data Vault 2.0, and Wide Flat Tables (OBT) optimized for Looker, Tableau, and PowerBI. 3. Real-Time Data Streaming & Event-Driven Systems Enabling millisecond-latency processing for live dashboards, fraud detection, dynamic pricing, and real-time operational metrics. ◾ Event Streaming: Setting up Apache Kafka clusters, AWS Kinesis, GCP Pub/Sub, and RabbitMQ with event serialization (Avro, Protobuf). ◾ Real-Time Analytics: Developing continuous stream-processing engines using Apache Flink, Spark Streaming, and ClickHouse/RisingWave for immediate insight delivery. 4. Data Quality, Governance, MLOps & AI Infrastructure Ensuring every byte of data entering your reporting systems is accurate, secure, compliant, and ready for advanced analytics or LLM applications. ◾ Data Quality & Observability: Automated schema validation, anomaly detection, and data testing using Great Expectations, Soda, and dbt test suites. ◾ AI/ML Infrastructure: Vector database setup (Pinecone, Weaviate, Qdrant, Milvus), RAG pipeline data ingestion, and feature store integration (Feast) for AI model training. ◾ Governance & Compliance: Role-Based Access Control (RBAC), Column/Row-level masking, PII obfuscation, and automated lineage mapping for GDPR/HIPAA compliance. ⚡ 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 & 𝐅𝐫𝐚𝐦𝐞𝐰𝗼𝗿𝐤𝐬 𝐈 𝐇𝗮𝘃𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐞𝐝 - 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Apache Airflow, Prefect, Dagster, Mage, AWS Step Functions, MWAA - 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 & 𝗘𝗻𝗴𝗶𝗻𝗲𝘀: Snowflake, Google BigQuery, AWS Redshift, ClickHouse, Trino/Presto, DuckDB - 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲 / 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲: Databricks, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue, PySpark, Apache Spark - 𝗘𝗧𝗟 / 𝗘𝗟𝗧 & 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: dbt (Core & Cloud), Airbyte, Fivetran, Kafka Connect, Debezium, Meltano - 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 & 𝗠𝗲𝘀𝘀𝗮𝗴𝗶𝗻𝗴: Apache Kafka, AWS Kinesis, GCP Pub/Sub, Apache Flink, Spark Streaming, RabbitMQ - 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 (𝗡𝗼𝗦𝗤𝗟 & 𝗥𝗗𝗕𝗠𝗦): PostgreSQL, MySQL, MongoDB, Redis, Cassandra, DynamoDB, Pinecone, Qdrant - 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 & 𝗦𝗾𝗹: Python (Pandas, Polars, PySpark, SQLAchemy), SQL (Advanced Dialects), Scala, Bash, Go - 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 & 𝗗𝗲𝘃𝗢𝗽𝘀: Terraform, Docker, Kubernetes, AWS (S3, EC2, ECS, Lambda), GCP, Azure, GitHub Actions, CI/CD - 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Great Expectations, Soda, Monte Carlo, OpenLineage, Datahub ⚡ 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸: I am hired to design production-grade data pipelines, modernize legacy data stacks, fix slow analytics queries, and bring software engineering best practices (Git, CI/CD, unit testing, modular code) into data infrastructure. I prioritize clean lineage, cost efficiency, ironclad data security, and zero-downtime migrations. ⚡ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲: ✔️ Pipelines built to scale ✔️ Massive cloud bill reduction ✔️ Production-grade reliability ✔️ Software engineering rigor ✔️ Clear communication 👉 𝗖𝗹𝗶𝗰𝗸 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 - 𝗹𝗲𝘁'𝘀 𝘁𝗮𝗹𝗸.

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.

I am a Tarot Reader and Energy Practitioner passionate about helping people gain clarity, guidance, and emotional balance. I specialize in Evolutionary Tarot for self-discovery and personal growth. My readings are designed to help clients gain clarity, recognize limiting patterns, connect with their intuition, and navigate life's challenges with greater confidence and awareness. I offer intuitive Tarot readings and pendulum-based energy clearing sessions for people and spaces. My sessions are designed to identify energetic blockages, restore harmony, and support clients on their personal and spiritual journeys. In addition to my spiritual practice, I have a background as an Environmental Engineer, which has strengthened my analytical thinking, attention to detail, professionalism, and commitment to delivering high-quality work. I am compassionate, intuitive, reliable, and dedicated to creating a safe, supportive, and non-judgmental space for every client. Whether you are seeking spiritual guidance, energy cleansing, or intuitive insight, I am here to help you move forward with greater clarity and confidence.

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.

Looker & BigQuery Expert | SwiftUI iOS Apps | Claude AI Automation | Founder @ RavenCoreX Since 2019 I've helped U.S. SaaS, retail & media companies migrate legacy BI stacks to Google Cloud + Looker, cut BigQuery spend by up to 40%, and deliver dashboards 4× faster. In parallel, I've spent 3 years building iOS apps with SwiftUI — from real-time audio transcription to personal finance engines — all shipped to the App Store. I run RavenCoreX, an AI-native tech studio where I build both the data layer and the mobile layer of products. One example: LKMind, a platform for automated Looker + BigQuery analysis using AI agents and Claude. Another: NotarIA, an iOS meeting intelligence app with real-time transcription, Claude-powered summaries, and StoreKit 2 subscriptions — live on the App Store. Credibility at a glance: • 6,353 Upwork hours – 100% Job Success – Top Rated Plus • $100K+ earned delivering end-to-end data platforms • Hands-on with Looker Standard, Enterprise, GCP Core & Studio • 3 iOS apps in production: NotarIA (App Store), BeMoney, FunnyOuts What I deliver — Data & Analytics: 1. Migrations – Redshift / SQL Server / SSRS → BigQuery + Looker (30+ dashboards moved) 2. AI-powered reporting – Claude-generated commentary wired into Looker Studio or Looker dashboards 3. Performance & cost optimisation – PDTs, datagroups, slot tuning (saved $72K/yr for last client) 4. AI agent pipelines – systems that read data context, generate and review LookML/SQL automatically 5. Governance & security – role-based models, CI/CD with Terraform What I deliver — iOS / SwiftUI: 1. Apps from scratch – SwiftUI + Firebase + Claude AI, built to App Store submission 2. AI features – Claude API integration, on-device Apple Translation, AssemblyAI transcription 3. Monetisation – StoreKit 2 subscriptions, RevenueCat, freemium paywalls 4. Backend integration – Firebase Auth, Firestore, Cloud Functions, GCP 5. Real-time features – WebSocket streaming, AVAudioEngine, live transcription Toolbelt: Data: BigQuery • Looker (all editions) • Looker Studio • LookML • dbt • Airflow • Terraform • Python iOS: SwiftUI • Swift • SwiftData • Firebase • StoreKit 2 • Claude API • AssemblyAI • Xcode AI: Claude API • n8n • AI agent orchestration Typical engagements: • 🔍 Looker Health-Check (2 wks) – performance audit + action plan • 🤖 AI Reporting Setup (1–2 wks) – connectors + Looker Studio templates + Claude commentary • 📱 iOS App Build (6–12 wks) – SwiftUI + Firebase + AI features + App Store submission • 🚀 Pipeline Build (4–6 wks) – GCS → BQ → Looker Studio with CI/CD & docs 👉 Click "Invite to Job" or book a paid discovery call (credited toward the project).

I’m a Data Engineer based in Buenos Aires, 32 years old, with a strong interest in sports and running. I bring that same discipline, resilience, and consistency into my work—building data systems that are reliable, scalable, and built to last. I’m methodical in how I approach problems, but also easy to work with and comfortable collaborating across teams. I am a Data Engineer with over 5 years of experience designing, building, and maintaining scalable data systems for U.S.-based companies. I specialize in developing reliable data pipelines, well-modeled warehouses, and production-ready analytics layers that support both business intelligence and advanced use cases. My core technical skill set includes SQL (Snowflake, BigQuery) and Python, with hands-on experience across AWS and GCP. I’ve built and optimized end-to-end data pipelines—from ingestion and transformation to modeling and serving—using modern data stack best practices. I regularly work with dbt to implement robust data models, enforce data quality, and ensure reproducibility and transparency across environments. I have strong experience designing data warehouses that scale, optimizing query performance, managing incremental loads, and handling large datasets efficiently. I’m comfortable owning data systems in production, collaborating closely with stakeholders, and translating business requirements into durable, well-engineered solutions. My background working across the full data lifecycle allows me to deliver systems that are not only technically sound, but also practical, maintainable, and aligned with real business needs. I’m best suited for teams looking for a hands-on data engineer who can move quickly, stay focused under pressure, and take ownership while being a reliable and collaborative teammate.