Berenice Harillo, Developer in Rio Ceballos, Cordoba, Argentina
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Berenice Harillo

Verified Expert  in Engineering

SQL Developer

Rio Ceballos, Cordoba, Argentina

Toptal member since November 24, 2021

Bio

Berenice is a senior database engineer with solid experience working with relational and non-relational databases on-premises and in different clouds. She excels in managing massive data sets with various tools and dealing with performance issues. As a database expert, Berenice enjoys migrating it to the cloud and creating models and ETL in data warehousing.

Portfolio

QualiTest
Azure, PostgreSQL, Database Management, SQL Performance, Monitoring, Backups...
Softvision
PostgreSQL, Google Cloud Platform (GCP), Google Data Studio, Sequelize, GitLab...
Alpha Fintech
PostgreSQL, MongoDB, Azure, Sisense, ETL, Amazon Web Services (AWS)...

Experience

  • Oracle - 13 years
  • Unix - 10 years
  • Database Replication - 8 years
  • PostgreSQL - 3 years
  • Azure SQL - 2 years
  • MongoDB - 2 years
  • Google Data Studio - 1 year
  • Google Cloud Platform (GCP) - 1 year

Availability

Part-time

Preferred Environment

PostgreSQL, MongoDB, Oracle, Unix Shell Scripting, PgBouncer, Google Cloud Platform (GCP), Azure SQL, Database Replication, Data Migration, Google Data Studio

The most amazing...

...thing I've led and managed is the implementation of the HA solutions for all the environments in Mongo and PostgreSQL on-premises.

Work Experience

Database Engineer

2023 - PRESENT
QualiTest
  • Reviewed and maintained the current infrastructure for PostgreSQL databases running on Azure virtual machines.
  • Analyzed several queries to tune them and get optimizations. I have improved execution times by about 90% for some main queries.
  • Run performance tests to tune PostgreSQL parameters to improve database performance.
  • Migrated and upgraded PostgreSQL databases from 9.6 to 14.8 on Azure Managed Instances.
  • Configured database logs to get proper pgBadger reports and configured/improved Grafana dashboard reports for database monitoring.
  • Reviewed, configured, and maintained database backups and PostgreSQL replication cluster.
  • Supported and fixed database-related issues: connection issues, replication not working, temp problem space in a data warehouse, bloated tables and indexes, etc.
Technologies: Azure, PostgreSQL, Database Management, SQL Performance, Monitoring, Backups, Cloud, Data Migration, Upgrades, Database Replication, Database Clusters, Performance Testing, Agile Sprints

Database Engineer

2020 - 2023
Softvision
  • Supported and maintained the cloud SQL databases in the Google Cloud Platform (GCP).
  • Configured monitoring and alerts in GCP for all database environments.
  • Participated in the application deployments and releases to apply and verify any database changes. Managed the database scripts in GitLab.
  • Executed performance tuning using query insights and analyzing queries to maintain or improve the database performance.
  • Created data sources through the Postgres connector or data extraction to Google Data Studio to generate dashboard reports for data analysis and business intelligence (BI).
Technologies: PostgreSQL, Google Cloud Platform (GCP), Google Data Studio, Sequelize, GitLab, Data Extraction

Database Engineer

2018 - 2020
Alpha Fintech
  • Handled the database migrations to the cloud in AWS, Oracle Cloud, and Azure.
  • Assisted developers in release deployments on all database-related tasks.
  • Performed the databases queries and tuning in MongoDB and PostgreSQL.
  • Implemented and designed the high availability strategies for relational and non-relational databases. Created the clusters configuring replica sets (master-slave) in MongoDB and Bi-directional replication clusters in PostgreSQL.
  • Installed and designed an ETL model in Sisense from different sources according to the dashboard requirements.
  • Administered and configured a database pool connection with PgBouncer.
  • Maintained and tuned an enormous data warehouse in PostgreSQL used to generate reports from a UI.
Technologies: PostgreSQL, MongoDB, Azure, Sisense, ETL, Amazon Web Services (AWS), Oracle Cloud, Data Extraction

Database Administrator

2009 - 2018
IBM
  • Planned, installed, configured, and maintained the high availability solutions such as Oracle Data Guards, Oracle Real Application Clusters (RAC), and Automatic Storage Management (ASM) environments.
  • Planned and configured the backups and recovery strategies and disaster recovery exercises.
  • Installed, configured, and administered a solution to manage the Oracle database from one console called Oracle Enterprise Manager Grid Control.
  • Supported and managed as the main point of contact for the specific sites and daily support to customers like Novartis.
  • Administered the Db2 LUW databases for IBM internal projects.
Technologies: Oracle, IBM Db2, Cluster, Oracle ASM, Oracle RMAN, Oracle RAC, Oracle Data Guard, Oracle Performance Tuning

Database Administrator

2007 - 2009
Motorola Solutions
  • Participated in and managed several projects, including upgrades, patching, migrations, decommissioning, and Oracle agent installations.
  • Planned and configured the backup strategies with RMAN and Oracle Statspack utility.
  • Performed the maintenance of database tasks and participated in on-call rotation for support 24/7.
  • Conducted the database monitoring and tunning for all database environments.
Technologies: Oracle, Database Administration (DBA), Unix, SQL

Data Analyst

2005 - 2007
Claro Argentina
  • Created the reports from databases for financial purposes.
  • Generated the tuning and statistics reports with Oracle Statspack utility to improve the database performance.
  • Executed the SQL queries on the database to carry out specific requests.
Technologies: Oracle SQL Developer, Databases, Oracle Database Tuning

Exploring and Implementing Replication in MongoDB

I was the database administrator assigned to investigate the different deployment architectures to understand the replication concepts better and help define a high-availability solution for our MongoDB databases. Afterward, I implemented the suggested architecture and approved it.

Design and Implementation of a Data Warehouse

Together with the database engineer and data architect, I designed and modeled a data warehouse to extract data for analysis and business intelligence purposes. Since this project involved the ETL process in extracting the data from our main databases, I decided on the best method to automate the extraction.
2000 - 2009

Engineer's Degree in System Engineering

Universidad Tecnológica Nacional - Córdoba, Argentina

2005 - 2007

Professional Degree in Database Administration

Fundación Proydesa - Córdoba, Argentina

NOVEMBER 2023 - PRESENT

Google Cloud Certified Professional Data Engineer

Google

JULY 2022 - PRESENT

Microsoft Certified: Azure Data Engineer Associate

Microsoft

DECEMBER 2017 - PRESENT

IT Specialist Profession

IBM

OCTOBER 2017 - PRESENT

Cloud Ready Program

IBM

DECEMBER 2010 - PRESENT

Oracle Certified Associate

Oracle

Tools

Sisense, PgBouncer, Cluster, Oracle RAC, Sequelize, GitLab, Chef

Platforms

Oracle, Unix, Google Cloud Platform (GCP), Azure, Amazon Web Services (AWS)

Storage

PostgreSQL, Databases, Database Administration (DBA), Oracle Database Tuning, Database Replication, Relational Databases, MongoDB, IBM Db2, Azure SQL, Oracle SQL Developer, Oracle Cloud, Database Management, SQL Performance

Languages

SQL

Paradigms

ETL

Other

Unix Shell Scripting, Engineering, Oracle ASM, Oracle RMAN, Oracle Data Guard, Oracle Performance Tuning, IT Projects, IT Administration, Development, Networking, Google Data Studio, Cloud, IBM Cloud, Google Cloud Functions, Analytical Dashboards, Data-driven Dashboards, Data Extraction, Data Migration, Monitoring, Backups, Upgrades, Database Clusters, Performance Testing, Agile Sprints, Data Engineering

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