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Rootstack

J logo

J

Available in 4-8 weeks

Data Engineer @ Rootstack

Mid-level
Seniority
GMT-05:00, Medellín, Colombia
Location & Timezone
$55 - $60/hr
Average Hourly Rate
English
Languages

Top skills

Python
DynamoDB
AWS
Apache Airflow
MySQL

About

I'm a Software Developer and Data Engineer with experience working in AI and ML projects, designing and building reliable ETL workflows, data pipelines, and scalable solutions using platforms like Azure, GCP, and AWS. I enjoy solving complex technical challenges, and delivering solutions that make a real difference for clients. I'm passionate about learning new things, staying innovative, and using technology to tackle real-world problems.

Top skills

Verified by Pangea.ai due diligence

Top SkillsCurrent UsageSeniority
Python
20%4 years
DynamoDB
20%4 years
AWS
20%4 years
Apache Airflow
20%4 years
MySQL
20%4 years

All skills

Roles and tools, to bring ideas to life and create meaningful experiences

AI & ML Solutions
Cloud Computing
Web Apps

Professional experience

Explore a curated selection of projects highlighting J's expertise and experience. Each project aims to showcase challenges, solutions, and the final outcome, along with the tools and technologies used.

Under MNDA
AI-Powered Assistant for Automating Reports — Data Engineer, Java developer
Integrated Large Language Models (LLMs) using OpenAI’s ChatGPT API to automate responses for a structured report. The goal was to reduce manual workload by generating accurate answers along with expert reasoning.
Data Engineering
Data Visualization
I’m flexible
Python
JavaScript
+2
Under MNDA
Data Integrity — Data Engineer
Developed an ETL pipeline to ensure data integrity across multiple sources and store the standardized results in Snowflake. The pipeline processed data from three different sources and transformed them into a unified, query-ready format for downstream analytics.
Data Engineering
Data Visualization
Python
SQL
AWS
Under MNDA
Retail Data Warehouse using Snowflake — Data engineer
Designed and implemented a Retail Data Warehouse in Snowflake to centralize and optimize sales, inventory, and customer data for analytics and reporting. Structured data from multiple sources into a well-organized model, enabling efficient tracking of sales performance, inventory levels, and customer behavior.
Data Analytics and Visualization
Data Visualization
Python
AWS
SQL

Preferred tools

View the preferred tools and apps used by J to assess compatibility and alignment.

Azure
Azure
Mattermost
Mattermost
Google Drive
Google Drive
Google Meet
Google Meet
G Suite
G Suite
Github
Github

Career highlights

Discover J’s professional journey, including employment history, certifications, and educational background.

Data Engineer
Data Engineer
Rootstack⸺2025 - Present
Design, implement, and optimize ETL/ELT pipelines using Airflow, Apache Spark, Composer, and other orchestration tools. Automate data ingestion, transformation, and loading processes for structured and unstructured data. Work with SQL and NoSQL databases like MongoDB, Google BigQuery, Snowflake, and Azure Databricks for data storage and retrieval.
Data Engineer
Publicis Sapient⸺2023 - 2024
Designed and implemented parsers for complex, multi-format data sources, ensuring seamless data integration. Leveraged Python, Databricks, and Spark to handle ETL workflows and solve technical and business challenges. Developed an LLM-powered assistant using OpenAI's ChatGPT to automate question-answering tasks. Implemented Azure Document Intelligence to extract key data from PDF documents. Collaborated with a cross-functional team, including Microsoft engineers, to deliver a MVP in two weeks for a POC.
Python Developer/ Data Engineer
EPAM⸺2022 - 2023
Automated property evaluation using computer vision and machine learning. Deployed ML models with Google Vertex AI, Docker, and Jenkins CI/CD pipelines. Tested and configured API endpoints for deployed models. Migrated features and projects using Kubernetes AWS clusters and Python. Developed cloud serverless functions with AWS Lambda and Azure Functions. Built functionalities using Django and Flask. Designed and developed data models with AWS RDS and Azure Synapse Analytics.
Python Developer/ Data Architect
Globant⸺2021 - 2022
Designed and developed ETLs and data pipelines using Python, APIs, Airflow, and GCP. Designed and implemented BigQuery data models and schemas. Developed data migrations from NoSQL databases to relational databases using Python. Created a Python data lineage library that utilized Google BigQuery for lineage information storage. Implemented functionalities for a streaming platform using React. Contributed to the implementation of a machine learning recommendation system for a streaming platform.
IT University Trainee
Tecnoquímicas S.A.⸺2021 - 2021
Developed a Python web application using Django for data migration to an Oracle database. Helped to develop and establish the Data Governance Initiative in the company.

Testimonials

Anonymous

Rootstack

Verified Testimonial

“Working at Rootstack has given me the chance to be part of international projects that challenge my skills as a Data Engineer. I get to collaborate with teams from different countries, learning from diverse perspectives while solving complex data problems.“

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