About me

Hey! I'm Jose Andres 🚀

B.S in Computer Science. I’ve worked in Data Engineering building pipelines and data models that turn complex raw data into insights and business value.

At Arkose Labs I own the Customer Success data warehouse and the ETL workflows that keep it up to date. I work closely with Customer Success and Professional Services to fuel QBRs, renewal forecasts and threat intelligence dashboards. I wrote the backend logic for our health score model that surfaces early churn risks, bringing together data from Salesforce, Gainsight, Zendesk and Pylon. I also build Python integrations with Slack that push real time alerts to stakeholders, keeping everyone on top. These solutions protect revenue and demostrated the product value.

I’m an enthusiastic Databricks user who believes generative AI will reshape analytics, so in my free time I dive into LLMs, broader generative-AI topics and how these technologies work. I am also pursuing a master’s degree in data, with a final project on adopting Lakehouse architectures.

My areas of interest

  • design icon

    Data Enginnering

    Moving large amounts of data smoothly while keeping it accurate. I enjoy solving problems that make data more accessible and reliable.

  • camera icon

    Generative AI

    Exploring how large language models and other Gen AI tools can automate workflows, rush new products and unlock fresh business value.

  • mobile app icon

    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.

  • Web development icon

    Analytics

    Turning raw numbers into clear and actionable insights that guide smarter decisions.

Clouds

Currently working on improving my cloud skills 💪

Resume

Education

  1. Universidad Cenfotec

    2024 — 2025

    Master'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.

  2. Unversidad Fidélitas

    2018 — 2023

    Bachelor's Degree in Systems Computer Enginnering/Computer Science.

    Click here to see the Degree!

Experience

  1. Associate Data Enginner at Arkose Labs

    In this role as a Data Engineer I collaborate with CS teams to optimize the CS data platform. I translate requirements into data models, build ETL pipelines, manage API integrations and develop automated reporting solutions that deliver insights to stakeholders and support churn-prevention initiatives.

    January 2025 — Present

    • Maintained and owned the Customer Success Data Warehouse, which served as the primary data source for customer-facing reports (QBRs and custom dashboards demonstrating product value).

    • Implemented, developed and monitored batch ETL pipelines that processed data from multiple sources, applied business logic to clean it and loaded it into the Data Warehouse ensuring reliable information.

    • Managed and extended API integrations with Salesforce, Gainsight, Harvest and Zendesk, constantly adding new objects as reporting requirements evolved and also built connectors for third-party tools APIs like Pylon.

    • Participated from requirements gathering and data modeling through implementation on key CS looker dashboards, including: Metrics/SLAs dashboard, Renewals dashboard, Hours tracking and billing dashboard and a Threat-intelligence dashboard (which became the data foundation for a fully marketing campaign)

    • Led data efforts on 2 customer churn-prevention projects:

    - Account HealthScore: Analyzed metrics from onboarding progress, product adoption, product performance and retention to calculate a health score and identify any possible churn risk.
    - Customer Quadrant Classification: Built the data logic for a quadrant-based model using the health scores to segment customers, optimizing account management, resource allocation and streamlining the customer journey.

    • Developed Python scripts that queried the Data Warehouse with business logic and sent personalized alerts to specific Slack channels, keeping CS on top of high-risk accounts and also providing weekly/monthly summaries.

    • Participated in hiring and onboarding a new Data Engineer: designed the onboarding plan, mentored daily and ensured full ramp-up within two months.

  2. 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


  1. Python / SQL / ETL Pipelines / Airflow / Data Modeling / APIs Managment / Databricks

  2. PostgreSQL / SQL Server / AWS ( S3,Athena,Glue,RDS,Lambda,Cloudwatch,ECR )

  3. Linux / Git / GitHub / Docker / Terraform (basic knowledge)/ QA scripts

  4. Looker Studio / Power BI / Data Visualization

  5. Scrum / Agile / JIRA / Confluence / Documentation / Sprint Planning / Mentoring

  6. Third Party Tools: Zendesk, Salesforce, Gainsight, Harvest, Pylon, Slack

Certifications

I enjoy taking certifications because they give me a structured way to learn while keeping things interesting :)

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! 🚀