About me
Hey! I'm Jose Andres 🚀
Bachelor in Computer Science. I have a strong interest in data, cloud, and AI, always looking to learn new technologies. I like tackling challenging problems with data solutions and ensuring they deliver real value.
I’ve worked in Data Engineering. Building and maintaining pipelines that transform complex data into valuable information. By ensuring data is well-structured, clear and reliable. This has helped executives in making data-driven decisions while ensuring accurate customer-facing reports for companies like OpenAI, Airbnb, and Microsoft. I've also developed internal reports that offer a holistic view of business data, covering key insights, performance analytics, team engagement, billing, contracts, and other critical areas.
I believe that strong teamwork and open communication lead to the best solutions. I enjoy collaborating across teams, sharing knowledge, and supporting others in their growth. Seeing the impact of good collaboration is something I truly value.
My areas of interest
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Data Enginnering
Moving large amounts of data smoothly while keeping it accurate. I enjoy solving problems that make data more accessible and reliable.
Artificial Intelligence
The way AI is changing industries. I’m curious about how companies apply AI to solve real-world challenges.
Cloud Technologies
The ability to handle data at scale without hardware limitations. I like exploring how businesses use the cloud to stay agile and scalable.
Data Visualization
Turning raw numbers into clear insights that actually help people make better decisions. A good visualization makes all the difference.
Clouds
Currently working on improving my cloud skills 💪
Resume
Education
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Universidad Cenfotec
2024 — 2025Master's Degree in Databases and Analytics
In Progress
Balancing work, a Master's Degree and personal life has been a challenge, some days I win, some days I just try again tomorrow.
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Unversidad Fidélitas
2018 — 2023Bachelor's Degree in Systems Computer Enginnering/Computer Science.
Click here to see the Degree!
Experience
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Associate Data Enginner at Arkose Labs
January 2025 — Present
• Build and maintain ETL pipelines to meet business requirements.
• Develop, maintain and document the complete data lifecycle, including strategies for data management, data modeling, pipeline workflows, and reporting automation for the Customer Success deparment.
• Integrate data from various sources, including different APIs, S3 buckets and databases into ETL processes.
• Collaborate with diverse technical and cross-functional teams, actively participating in meetings, technical explanations and understanding their data needs. Delivered 4 custom reports for marketing and finance teams.
• Conduct troubleshooting on diverse data solutions, identifying and rectifying issues that arise during data processing and integration to maintain the integrity and reliability of data outputs, ensuring optimal performance for the CS business intelligence platform.
• Regularly incorporate customer feedback into data reports and dashboards to maintain relevance and accuracy in meeting their evolving business needs.
• Proactively monitor data and satisfaction metrics to identify areas for improvement in reporting and data delivery.
• Be part of the hiring interview process for a new Data Engineer, work on the onboarding plan and serve as a mentor.
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Data Enginner Intern at Arkose Labs
April 2024 — December 2024
• I learned a lot in a fast-paced and iterative environment, where adaptability and problem-solving were key. Experiencing the startup environment gave me huge responsibilities and exposed me to real business needs, pushing me to grow quickly. This was the best learning experience I could have-asked for challenging, rewarding and truly impactful.
Skills
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Python:
Data Structures - Lists, Dictionaries | OOP | REST APIs (Integrations, JSON Handling, Requests, Payloads) | Data Cleaning (Pandas, NumPy, Transformations) | Automation Scripts (Batch Processing, Cron Jobs, Task Automation) | Standard Libraries (os, sys, json, datetime, requests) | Error Handling & Logging | QA Automation (Selenium) -
SQL:
Data Modeling | CTEs (My Favorites) | JOINS | Window Functions (COUNT, SUM, AVG, RANK, ROW_NUMBER, use PARTITION BY a lot) | CASE Statements | Query Optimization & Indexing | Stored Procedures & Views | Data Integrity (Constraints, Validations) -
ETL & Automation:
Python Scripts | Cron Jobs | Batch Processing | S3/AWS Athena/AWS RDS | PostgreSQL -
Data cleaning:
Pandas | Numpy | Data Validation and Integrity | Data Quality Checks -
Data Storage:
AWS S3 | AWS RDS | PostgreSQL | Flat files CSV - JSON - Excel files -
AWS:
S3 | Athena | CloudWatch | Glue | EC2 | IAM | Lambda -
Azure:
Blob Storage | SQL Database | Data Factory | Active Directory -
Integration & APIs:
REST APIs | Have integrated -> Salesforce | Zendesk | Gainsight | Slack | Pylon -
Deployment & Infrastructure:
Docker | AWS ECR | Terraform | Dev - Staging - Prod -
Version Control & Workflow :
Git | GitHub | Branches | PRs | Code Reviews -
Visualization & BI:
Looker Studio | Power BI | Dashboards | Reporting Automation -
Documentation:
Docs for -> APIs | Pipelines | Data Sources | Data Lineage | Process Diagrams -
Project Management & Agile:
Scrum | JIRA | Confluence | Sprint Planning | Roadmap Planning -
Soft Skills:
Adaptability | Communication | Team Collaboration | Time Managment | Resilience | Mentoring
Certifications
I enjoy taking certifications because they give me a structured way to learn while keeping things interesting. My approach? Book the exam first! 😂 it sets a clear goal and keeps me focused. So far, it’s worked well!
Portfolio
Here is where my portfolio would be... if I had one!
Jokes aside, one of my personal goals is to start adding projects here as I explore new technologies. Hope to begin soon! 🚀