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David Daniel Murcia Acuña

Senior Data Engineer
Habilidades
(Autoevaluación)
SQL 100%
Power BI 100%
MySQL 100%
Plsql 100%
Rest api 90%
Python 90%
Azure cloud 70%
Aws cloud 60%
Power apps 50%
Terraform 40%
Idiomas
English:
  • Speaking
    70%
  • Reading
    70%
  • Writing
    70%
Spanish:
  • Writing
    70%
  • Reading
    70%
  • Speaking
    70%
Perfil profesional

Mechatronic engineer with a master's degree in analytics for BI with experience in financial, fintech and cybersecurity industry. I have strong skills in programming languages such C# and Python for the development of ETL's. and data analysis tools like Power BI and tableu, also I have worked on cloud services as AWS and Azure. I describe myself as a person who always looking forward to obtain new challenges and professional growth.

Experiencia laboral

Senior Data Engineer
tcs | Febrero 2023 - Actualmente (3 years 9 months)
Habilidades utilizadas

■ Create data models for several customer processes. ■ Create pipelines with on-premises services such as SSIS for the different data sources. ■ Create Pipelines for Data Analysis and pipelines with Python and C#.{ ***}■ Ensure data quality and veracity. ■ Create Data Models and pipelines with Cloud Services Tools. ■ Tech Stack: SSIS, Microsoft SQL Server, MySQL, Python.{*** }

Data Engineer
appgate | Diciembre 2020 - Enero 2023 (2 years 1 month)
Habilidades utilizadas

■ Deliver value-added analytics and reporting solutions to company key partners. ■ Lead projects through data gathering, analysis, reporting/analytics development. ■ Data integration and data model creation with pipelines using Python, ADF, C# and other Azure tools. ■ Data analysis and data integration from REST API, External Sources with Hadoop, Synapse Analytics, R ■ Tech Stack: ADF, Azure Functions (Python and C#), Logic apps, Power apps, Maste

Data Specialist
kushki | Julio 2020 - Octubre 2021 (1 year 3 months)
Habilidades utilizadas

Optimize high-level SQL queries to improve database efficiency. ■ Work in cross-functional agile teams to continuously experiment, iterate and deliver on new product objectives. ■ Build and optimize data pipelines (batch and streaming) for big data systems using Python, C#, Hadoop, BigQuery and others. ■ Provide expertise on the data engineering best practices, standards, architectural approaches and complex technical resolutions ■ Tech Stack: AW

Formación académica
Mechatronic Engineering
Universidad de pamplona | Undergraduate
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