DIEGO SISALIMA
DATA ENGINEER
CONTACT
--linkedin.com/in/diegosys89
Quito - Ecuador
SKILLS
Data Engineering
Data Analysis
Data Modelling
Cloud Computing
Agile framework
EDUCATION
Master in Science, Computer Science
University of York (Uk)
2022
Bachelor Electronics Engineering
University of the Armed
Forces (Ecuador)
2016
PROFILE
Project-oriented professional, with more than five years of experience in the
development and successful implementation of Data Engineering solutions,
automation projects and Data Analysis dashboards for projects in different and
diverse industries like telecommunications, retail, fin-tech and Streaming Services.
Always looking for new professional challenges and the implementation of
technologies to drive the digital transformation of the organizations.
WORK EXPERIENCE
Data Enginner
Option SpA
Data pipeline Development in cloud environment using Composer services in
GCP and Argo Workflow Kubernetes environments
Data Integration between multiple data sources technologies and cloud
environments
Data Transformation in data lake, data warehouse paradigms using Python
framworks and SQL. ETL/ELT
Data modelling and implementation of data models that structure and organize
data in a way that supports efficient querying and analysis.
Design and optimize the data infrastructure and architecture, considering
factors like scalability, performance, and cost efficiency.
Identification and address performance bottlenecks in data processing systems
and data governance best practices.
Involved in Fintech and Streaming services projects in South America and USA
Environments: Python, SQL, GCP(Cloud functions, Cloud Run, Composer, Google
Storage, Dataflow ETL), Azure Cloud (Az Stream Analytics, Az Functions, Az Blob
Storage, Virtual Machine), GitLab, Terraform, Pulumi, PySpark, Apache Airflow,
Apache Beam, MongoDB, MySQL, Bigquery, Snowflake
Data Analyst
LANGUAGES
English
(C1)
Spanish
(Native)
2021-Present
-
Telefonica Ecuador
Development of smart data visualization dashboards for the different
management departments in mobile communications industry
Design and architecture of Business Intelligent and Data Science solutions with
the use of different Big Data tools available at the organization.
Proposal for solutions for the visualization of operational and strategic KPIs that
serve the different business units
Data Quality Assurance and reliability of data used for analysis by performing
data validation checks, verifying data integrity, and addressing any data quality
issues. This includes checking for data completeness, accuracy, consistency,
and conformity to defined standards.
Environments: Python, SQL, R, Javascript, AWS Cloud, Microsoft SQL, Teradata,
Power BI, Hive, PySpark, MongoDB, Hadoop, MapReduce, Mapbox, REST Web
Services, Git
DIEGO SISALIMA
DATA ENGINEER
REFERENCES
Vanesa Lopera
WORK EXPERIENCE
Network Operation Center Supervisor and Data Analyst
Rhelec
-
--
Sergio Hernandez Padilla
--
Implementation of IT Projects such as: Smart dashboards for automatic
measurement of KPIs of diverse projects, implementation of Data Warehouses
for information analysis and reports to the different managers involved
Implementation of "Workforce Management" for real-time control of Operation
and Maintenance technical personnel of base stations for the main mobile
operators.
Implementation of automatic Reporting Applications, thus increasing resources
optimization in the projects involved.
Environments: Python, SQL, Postgres, MySQL, Centos Linux Servers, Microsoft
Server, Sophos Firewall, Citrix, VMWare Virtualization
COURSES AND CERTIFICATIONS
Microsoft Certified: Azure Fundamentals
Microsoft 2023
Google Associate Cloud Engineer
Google 2021
ITIL Foundations Certificate
EXIN 2017
