Hire the Top 2% of
Remote Apache Airflow Developers
in Colombia

Camilo P.

Vetted Apache Airflow developer in Colombia (UTC-5)

A multilingual Ph.D. in mathematics with 10+ years of professional experience in software engineering, data analytics, A.I., machine learning, business intelligence, research, and teaching.

Aron F.

Vetted Apache Airflow developer in Colombia (UTC-5)

I'm a bachelor in science in Computer Science from Universidad Industrial de Santander (UIS), Colombia. Strong expertise on the data engineer/analysis techniques and Machine Learning topics (Python). Knowledge in statistics, and knowledge in back-end Web Development. As a background I worked in three companies, I have 1 year of experience in back-end development (Python, Django-Restframework), and almost 3 years of experience in the Data Areas (Data engineer and Machine learning). I see myself as a person with fast growth and continuous improvement, a person who enjoys his work either individual or in a team, and tries to reach the excellence in his work, not only contributing in the technical topics but also in the improvement of the company

Javier L.

Vetted Apache Airflow developer in Colombia (UTC-5)

Data engineer with over 1 year of experience (in this role) and over 3 years of experience in similar roles. Recognized for problem solving even if i have no experience with the required tool, fast learner and adaptable to changes.

María C.

Vetted Apache Airflow developer in Colombia (UTC-5)

I'm a Senior data engineer, I had worked with local and big data, mainly I had worked with AWS but also i had experience with Azure, now I'm working with real time and big data using snowflake, AWS and Airflow. I would be happy to explain you personally about my experience and the knowledge that would be useful in your projects.

Francisco V.

Vetted Apache Airflow developer in Colombia (UTC-5)

I am a goal-oriented professional with an outstanding capacity to develop new tools and technologies. I am fully confident in my abilities to creatively solve the different challenges a company may present through innovation and teamwork. As a modern engineer, I truly believe in the power of data and information technologies to help companies take better decisions and provide great solutions, positively impacting on each of their processes. As Technical Lead, I have been able to design, execute and successfully deploy end-to-end Machine Learning solutions for different kinds of industries: Financial, Retail, Mining, and Transport, adding great value to their operations

Carlos O.

Vetted Apache Airflow developer in Colombia (UTC-5)

Mechanical engineer with a strong academic background, holding a Bachelor's degree from Universidad de los Andes and a Master of Science in Computational Mechanics from the Technical University of Munich (TUM). Over 4 years of academical experience and 5 years of professional experience, also have seamlessly transitioned into the field of data science and machine learning, where have excelled in solving complex business problems and deploying innovative solutions in production environments. Expertise lies in leveraging cutting-edge libraries like TensorFlow, Pytorch, and Scikit-Learn to develop cognitive services. With a versatile skill set, brings to the table a wealth of experience in time series modelling, programming proficiency in Python, C++, Java, and Matlab, and a solid foundation in High-Performance Computing (HPC).

Miguel J.

Vetted Apache Airflow developer in Colombia (UTC-5)

Results-driven Systems Engineer with a robust academic foundation in Technology and Computer Science. A dedicated team player and avid learner with a passion for cutting-edge technologies. Proven experience in project leadership, adept at managing interpersonal relationships, and highly motivated to excel in software development with a focus on Artificial Intelligence, Business Intelligence, and Big Data within the Retail, Health, and Fintech sectors.

Roger A.

Vetted Apache Airflow developer in Colombia (UTC-5)

Passionate Engineer with 10 years of experience working for technology departments in different markets and companies, currently focused on all kinds of Data related projects with 3 years of experience working with AWS (DynamoDB, Glue Jobs, Athena, S3, EMR, Jupyter notebooks, CloudWatch, Managed Apache Airflow), Spark, Kafka, Python, batch processing, Visualization, descriptive data analysis, etc. I'm always open to learning new ways to do things and I'm constantly involved with improving processes by creating proposals focused on reducing costs, time, or infrastructure resources.

Martin T.

Vetted Apache Airflow developer in Colombia (UTC-5)

Data engineer with a background in business intelligence and data science, I am passionate about using data to drive business decisions and improve processes. With experience in designing and implementing data pipelines and ETLs, I am well-versed in technologies such as Azure Data Factory, AWS, Spark, Python, SQL and Git, which I have used to develop and optimize data management and analysis solutions. I also have experience with visualization tools such as Power BI and Tableau, to create interactive and informative data visualizations. I have a track record of collaborating with cross-functional teams to identify and solve data-related problems while ensuring data quality and integrity. I am well-versed in the Scrum methodology and have experience in working with remote teams. I am a skilled problem solver who is always looking for new and innovative solutions to complex data challenges. I am excited about the opportunity to work remotely and contribute my expertise to a dynamic and fast-paced team.

Sebastian G.

Vetted Apache Airflow developer in Colombia (UTC-5)

Computer and Systems Engineer from Cúcuta, Colombia. passionate about software engineering, software architecture and data processing through scalable and cost effective data pipelines. Was able to grow alongside Chiper's data architecture, starting alone as a Data Engineer Junior and becoming Data Engineering Manager in charge of a young team that is able to probide valuable and clean information at scale, looking for the right solutions for the specific big data problem.