I aim to drive data governance and automation to enhance traceability, quality, and interoperability. I specialize in implementing business rules and ETL processes to ensure data cleansing and high availability. I am passionate about leading high-SLA initiatives with a relentless focus on maximizing business value.
Juan Páez
@remote_juan
Software Engineer & Technical Support Specialist | E&P Data Expert | Python & SQL | data governance and lifecycle automation.
What I'm looking for
I am a Software Engineer specializing in the data lifecycle within Corporate Governance frameworks. I focus on automating petrotechnical information flows to ensure traceability from extraction to cataloging. I also lead the implementation of business rules that enable the cleanup of high-availability databases in the energy sector.
I bridge the gap between complex engineering data and technical solutions. With over 6 years of experience in the Oil & Gas industry (Halliburton, Ecopetrol projects), I specialize in L2 technical support, E&P data verification, and engineering documentation management. I thrive in remote environments where precision, Python-based automation, and bilingual communication (English/Spanish) are key to solving complex problems. Passionate about data integrity and operational efficiency.
At Iron Mountain, I strengthened Quality Assurance by leading the control of petrotechnical assets on the Ecosearch platform to ensure data integrity in exploration and production processes. I automated metadata extraction using Python, aligning technical information with Value Maximization and immediate data availability. I successfully mitigated information gaps through business rules and database cleanup under corporate standards.
Previously, at Halliburton SRL, I developed Data Standardization solutions and tools to standardize technical information, ensuring interoperability in Unix/Linux environments according to Ecopetrol's Service Level Agreements (SLAs). I managed data transfer flows (FTP/Media) and provided data quality support for critical E&P projects, optimizing bulk upload processes to increase the reliability of information assets. As a contractor in Halliburton's Data Governance areas, I worked with Data Quality (DQ), Metadata Management, Data Dictionaries, and SLAs, applying automation/ETL with Python and document management practices aimed at maximizing value.
Experience
Work history, roles, and key accomplishments
Spearheaded the QA control of over 31,000 petrotechnical assets within the Ecosearch environment. I leveraged Python to automate metadata extraction and designed business rules focused on data sanitization and gap mitigation. Guaranteed full data traceability and integrity across the entire lifecycle, from initial extraction to final cataloging.
Engineered solutions for data standardization and technical alignment, guaranteeing seamless Unix/Linux interoperability under rigorous service level agreements (SLAs). Oversee data transfer pipelines (FTP/Physical Media) and maintained high data quality standards for mission-critical E&P initiatives, streamlining bulk uploads to ensure the integrity of core information assets.
Data Governance Contractor
Servicio Geológico Colombiano
Jul 2018 - Jan 2022 (3 years 6 months)
Executed Data Governance initiatives centered on Data Quality (DQ), metadata management, and the development of data dictionaries while ensuring strict SLA compliance. Developed automated ETL and data cleansing workflows using Python and SQL, alongside advanced Shell scripting in Unix/Linux environments.
Education
Degrees, certifications, and relevant coursework
Politécnico Grancolombiano
Ingeniero de Software, Ingeniería de Software
2018 - 2022
Grade: 3.8
Activities and societies: Developed automation tools for metadata extraction and technical data standardization. Engineered data pipelines using Python and Shell scripting for FTP/Media transfers. Optimized bulk loading processes in Unix/Linux environments, ensuring high data quality and SLA compliance. Applied PSP/TSP methodologies to document and improve software processes, focusing on interoperability and data integrity.
Focus on SDLC, SQA, and Unix/Linux interoperability. Trained in PSP/TSP frameworks for disciplined development. Specialized in technical standardization and automating data pipelines (FTP/Media). Expertise in optimizing bulk loading and distributed databases to ensure high data quality, reliability, and system performance through formal engineering principles.
Availability
Location
Authorized to work in
Salary expectations
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