Daniel Lopez Email & Phone Number

In this period of time I am being responsible for:- Designing and implementing scalable data processing systems, including data ingestion, storage, transformation, and analytics.- Developing and managing data pipelines and ETL (Extract, Transform, Load) processes to ensure the timely and accurate delivery of data.Collaborating with cross-functional teams.

In this period of time I am was responsible for:- Provide end-to-end vision and knowledge to projects to help them better design solutions from a data perspective- Design data architectures, design and build complex relational databases and data warehouses to satisfy application (business and technical) requirements- Develop strategies for data.

In this period of time I was responsible for:- Extracting data from different data sources and transferring it into a data warehouse environment.- Designing, maintaining and implementing transactional and analytical data storage structures.- Design, build and maintain data pipelines, consuming for multiple sources, and servicing multiple tenants- Elaborate.

• Bluetab is a global leader in Data Analytics Services, consulting & business solutions. During this time I am being responsible for:
• Build scalable, highly performant infrastructure for delivering clear business insights from a variety of raw data sources.
• Build scalable, highly performant analytics pipelines for Wealth Bank Client Profiling.
• Build frameworks and tools to empower data scientists and analysts.
• Implement complex analytical projects with a focus on collecting, managing, analyzing, and visualizing data.
• Be in constant communication with team members and other relevant parties and convey results efficiently and clearly.

• Tata Consultancy Services is a global leader in IT services, consulting & business solutions with a large network of innovation & delivery centers. During this time I was responsible for:
• Ensure completeness and compatibility of the technical infrastructure required to support system performance, availability and architecture requirements
• Build robust and scalable data integration (ETL) pipelines using cutting edge big data technologies (PySpark, Spark, Hive, Impala, Sqoop, Pig, Tez,....).
• Design and plan for the integration for all data lake/warehouse technical components.
• Process huge volumes of data and generate insights.
• Develop implementation and operation support plans.

• Arkangel AI is a Canadian Start Up that develops aritificial vision algorithms for diseases detection, classification and explanation. In this period of time, I was responsible for:
• Analyze and extract information in multiples types of datasets.
• Build ML pipelines that obey best industry practices
• Build CI/CD pipelines following DevOps principles
• Build a secure environment platform that obey HIPAA and GDPR requirements.
• Build Computer Vision algorithms for medical applications.

Medellín, Antioquia, Colombia

• The Cornell Lab of Ornithology is a member-supported unit of Cornell University in Ithaca, New York which studies birds and other wildlife. For that, they keep track of many different information sources using the.
• Making AI algorithms with low computational cost for bird detection and counting in images and videos.
• Develop relationships with ornithologists for a customer-need approach to sucesfully deployment.
• Consultative and customer-need approach for data acquisition.
• Build Graphical User Interfaces that would be easy to use. http://sistemic.udea.edu.co/es/investigacion/proyectos/TRINGA/

Medellín, Antioquia, Colombia

• SISTEMIC research group focuses on develop embedded systems, high performance computing, and artificial intelligence algorithms for a variety of applications. Some of the most recognized open-source projects are Naira.
• Develop metrics that would help to estimate the performance of Naira considering a temporal analysis.
• Develop an image processing algorithm for fast segmentation and wildlife recognition.
• State of the art research of low computational algorithms for machine learning efficient integration.

Postgraduate Degree, Computer Science, Data Scienctist

Ingeniero Electrónico