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Jachson Deniz Junior

@jachsondenizjunior

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I build reliable cloud data pipelines for regulated, high-scale industrial data.

Brazil

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What I'm looking for

I'm looking to build reliable, traceable data pipelines for high-scale and regulated environments, especially where telemetry, real-time events, operational analytics, or performance data can drive measurable decisions.

I've built production data pipelines on GCP using Medallion Architecture, dbt, automated quality tests, and lineage documentation. My work is grounded in 15+ years handling industrial data where accuracy carries direct operational and legal consequences.

At IPT, I integrated sensor, test-bench, and field data for regulated R&D using Python, SQL, KNIME, BigQuery, and Snowflake. At IAV do Brasil, I worked with continuous J1939/CAN bus engine streams, emissions testing, and multivariate calibration that reduced NOx by up to 8%.

Through production projects and freelance work, I've delivered streaming and batch pipelines for telemetry, emissions, and telecommunications datasets. I use Python, PySpark, Airflow, dbt, BigQuery, Snowflake, and ML tooling to turn complex operational data into traceable analytics.

Experience

Work history, roles, and key accomplishments

Data Engineer

Confidential Project

Aug 2025 - Feb 2026 (6 months)

Developed data pipelines and legacy system integrations for a large telecommunications company, performing transformation and analysis of financial/operational datasets using KNIME and Python.

Python KNIME SQL

Data Engineer & Research Specialist

IPT - Instituto de Pesquisas Tecnologicas

Mar 2022 - Aug 2025 (3 years 5 months)

Technical reference for experimental data in a regulated R&D environment, integrating sensor, test bench, and field data with Python, SQL, and KNIME ensuring scientific traceability. Built analysis pipelines for graphene-additive diesel lubricant research using BigQuery and Snowflake.

Python SQL KNIME BigQuery Snowflake

Data & Calibration Engineer

IAV do Brasil

Jul 2016 - Feb 2022 (5 years 7 months)

Managed high-scale critical data environment with continuous J1939/CAN bus engine streams, INCA-FLOW acquisition, and PEMS equipment. Calibrated diesel ECUs with ETAS ASCMO, achieving NOx reduction up to 8% with direct CONAMA/PROCONVE homologation impact.

ETAS ASCMO J1939 Python

Test & Data Analyst

MWM International Motores

Jan 2008 - Jan 2016 (8 years)

Operated instrumented dynamometer test benches and conducted durability and homologation tests under CONAMA/PROCONVE, providing first structured real-time data experience in a high-demand industrial environment.