Luisana Mendoza

IT professional with more than 10 years of experience in projects related to data technologies, from infrastructure management to the development of data services, as well as the design of pipelines for data ingestion with Azure Data Factory and Databricks Notebook with API Spark (Scala, Python and SQL) commands, as well as giving a focus on data architecture.

2022- Currently | BigData Developer | Bci, Chile.
Technologies Used: HBase, Azure Data Lake, DataBricks Scala API, Spark Streaming, Apache Kafka, Kafka Confluent, Azure Data Factory, Phoenix and Visual Code

2021- 2021 | Data Mining Engineer | WOM S.A, Chile.
Technologies Used: RDS AWS, DBeaver 21.1.1, S3 AWS, ETL, AWS Lambda, AWS Athena, MySQL, MySQL Workbench, SQL, NoSQL, Python, DAX, Power BI, Spark, Kafka, Airflow, Google Analytics

2018-2020 | Data Platform Engineer | Ingeniería e Informática Asociada, Chile.
Technologies Used: VMware vSphere, ESXi 5.5-6.0, Rkhunter, MySQLTuner, Docker, Cacti, Monit, Munin, Centreon, WhatsUp Gold, Ipswitch.
 

2017-2018 | Business Intelligence Consultant | CANTV, Venezuela.
Technologies Used: SAP BW, Data Source, CUBO/ODS, ABAP, SAP OLAP, SAP R/3, Crystal Reports, InfoPackage.
 

2015-2017 | Database Support Specialist | CANTV, Venezuela.
Technologies Used: SAP OLTP, SQL Server DB, MySQL Database, Query, Oracle RAC / ASM, Oracle Data Guard, SQL, PL / SQL, Shell Scripting, Troubleshooting, RMAN, Oracle Golden Gate, Oracle Flashback Data Archive.

2014-2015 | Data Conciliation Specialist | Movilnet, Venezuela.
Technologies Used: ETL, GNU/Linux, SMS PREMIUM, Bash Shell, PLSQL Pack, BD Oracle 10g, SQL *Plus, Toad 10.

Universidad Nacional Experimental Politécnica de la Fuerza Armada (UNEFA)
Master's Degree in Information and Communications Technology Management
Universidad Centroccidental Lisandro Alvarado (UCLA)
Computer Engineer