I currently work at Accenture, my position as Data Engineer, Senior Analyst of Business & Technology Delivery, my job is to interact with datalake tables using the Cloudera Platform (Impala, Hive, Metadata), validating the migrated data in addition to guaranteeing the continuity and reliability of the current automated processes available in AWS S3 for a Energy Client in Chile, in parallel, I am also working on a project for a Mining Company in Chile, performing tasks as a Data Reliability Engineer (DRE) of its data lake, participating in Management and Optimization of Active Processes to enable Intelligence capabilities such as Artificial Intelligence, Machine Learning, IoT that allows progress in the automation of decision-making, following the best CI / CD practices, guaranteeing that everything goes to production through a platform with high availability, resilience and scalability, as well as monitoring proactive and preventive, making use of components of the Microsoft® Azure technology stack p For ingest and processing, advanced analytics, visualization and surveillance.

Some of my previous relevant works:
OPTION SPA October 2019 –Feb 2020 for FALABELLA RETAIL CLIENT

Position: Data Quality Engineer
• Management in the GCP environment (Google Cloud Platform), review and data collection, use Google tools: Bigquery, Cloud Storage and Data Studio
• Definition of test plans
• Receive and review the documentation of the study process of the different Big Query tables of various Projects, handling SQL, Python and R
(Generate ETL development procedure (extraction, transformation and loading)
• Business and General Metrics for Data Quality Detection

MY ABILITIES
• Google Cloud tools such as: Bigquery, Data Studio, Cloud Storage, Cloud Shell. BigQuery was an essential tool for the analysis of Ingested data.
• ETL processes with Python, by means of a Python Dag converting it into a readable file and it is taken to BigQuerie.
• Python: I have experience in Python libraries: Pandas, Numpy, Matplotlib, Plotly.
• Google Cloud Dataproc: It is used for the data review process as an additional tool.
• SQL: Intermediate level
• RStudio
• Adobe Debugger Analytics
• PostGreSQL
• Linux / Solaris / Citrix
• Agile methodologies such as Confluence, Jira, Trello, Gitlab
• Cloudera (Impala, hive)
• Hortonworks (Amabari,Zepellin, Apache, Spark nivel Basico)
• AWS (S3)
• Tablew, similar Data Studio
• QlicSense
• HubSpot

I HAVE THE FOLLOWING DEGREES OF STUDIES:
• Civil Electronico Engineer, titled 2001
• Postgraduate Business Analytics and Data Science from U.de los Andes, managed by RStudio.
• Data Science Certification with Python from the Catholic University of Chile.
• Google Cloud Platform Big Data and Machine Learning Fundamentals certification by Google.
Advanced Oral and Written English, studied 3 years at INIPUC (Instituto Idiomas de la Universidad Catolica del Peru)

In the Postgraduate of "Business Analytics and Data Science" I saw different case studies with real bases to work on: transformation,
data cleaning, different predictive models in R such as linear regression, forescast, kvecinos, neural networks.
In my spare time I analyze real and practical data in HackerRank, using the most relevant libraries in Python such as: Pandas, Numpy,
Scipy, Matplotlib & Seaborn, Scikit Learn All through Anaconda platform and Visual Code

https://www.linkedin.com/in/jennybelisario/
jbelimor22@yahoo.es
+56 966591534

Proyect2

Proyect3: Data Quality

Proyect4: Cloud