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Alexander N. - Fullstack Developer, Data Science, Data Analysis

Being part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.

Main technologies

  • Fullstack Developer

    9 years

  • Oracle Database

    5 Years

  • SQL

    4 Years

  • Database Administration

    7 Years

Additional skills

  • Oracle Database
  • SQL
  • Database Administration
  • Solution Architecture
  • Database Architecture
  • Cloud Architecture
  • Azure DevOps
  • Amazon Web Services
  • Oracle Cloud
  • Oracle E-Business Suite
  • Linux
  • Enterprise Software
  • Python
  • Kubernetes
  • Git
  • Data Engineering
  • Data Science
  • Data Analysis

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Experience Highlights

Massive Oracle DB system migration and Disaster Recovery

Project goals: > Migrate 200+ enterprise databases from a variety of platforms (AIX, HP-UX, Linux), consolidating them on Oracle Exadata X7 > Upgrade legacy DB versions in the process of migration, from versions 9i, 10g, 11g to 12c > Set up Disaster Recovery solution > Conduct performance optimization as per Exadata best practices Accomplishments: > We have developed a flexible migration plan to be able to adjust the migration approach for each DB’s specific requirements > Migration approaches list included Oracle DataGuard switchover, Oracle Data Pump migration and Oracle RMAN duplicate > The migration process have been scripted to minimize downtime and optimize work > All database have been migrated to Exadata servers > Disaster recovery solution has been designed and set up, comprising Oracle RAC, Oracle Data Guard with standby databases on a dedicated Exadata system, and Oracle RMAN backups Technologies: - Oracle Database 9i, 10g, 11g, 12c - Oracle Exadata X7 - Oracle Grid Infrastructure - Oracle Real Application Clusters - Oracle DataGuard - Oracle RMAN - Oracle Data Pump - HP-UX - AIX - RedHat Enterprise Linux Workload: 15.000 hours Migration team: - 3 x Senior Oracle Exadata Administrator - Senior Oracle Database Architect - Project Manager Support team — 24×7 coverage: - Rotation shift member: 8 x Senior Oracle DBA - Rotation team leader: 4 x Senior Oracle Exadata Administrator

Ultra low-latency AWS multi-region cloud infrastructure

Company Industry and size: FinTech Startup Project goal: > Build low-latency and stable AWS multi-region cloud environment Accomplishments: > Configured channels and routes with minimun latency for the current distances. Redundancy was used. > Created Network ACLs Technologies: - AWS Workload: 40 hrs Project Team: - 2 Developers - 1 DevOps Outcome: Client was able to run his business in different regions to boost the income

Multi-cloud Azure Data Factory implementation

Project goals: - Setup ETL process based on Azure Data Factory, to move data between OLTP. - MS SQL Server DB (on-premises environment) and Data Mart based on Azure Database for MySQL. - Implement several aggregations and transformations into ETL Accomplishments: - The ADF pipeline has been designed to move extract data from SQL Server, perform all required transformations and load the data into the Data Mart. - The service has been integrated with an on-premises monitoring system (Zabbix), to ensure robust, production-ready management and monitoring capabilities. - Azure AD roles and users have been set up to fit the enterprise security/access policies. Technologies: - Azure Cloud - Azure Data Factory - Azure Database for MySQL - Microsoft SQL Server - Zabbix Workload: - 60 hours Project team: - Senior DevOps Engineer - Senior Data Engineer

Jenkins CI/CD build from GIT

Project goals: - Build a CI/CD pipeline for an AWS based web application, using Jenkins and Git repository - The application comprises: AWS RDS (Oracle and SQL server), Fargate, EC2 Linux servers with Weblogic server Accomplishments: - Build and deploy pipelines have been configured with Jenkins, to fetch the new code from Git and deploy to Weblogic server, Fargate containers, and RDS DB - User access model has been implemented in Jenkins to ensure secure access to Production build/deploy functions Technologies: - Jenkins - Git - AWS EC2 - AWS Fargate - AWS RDS - Oracle Database - Microsoft SQL Server - Red Hat Enterprise Linux - Windows Server Workload: - 90 hours Project team: - Senior DevOps Engineer

50+ Retail OLTP Databases migration and architecture

Project goals: > Migrate of 50+ TB Highly-Available OLTP database from Europe to Russia > Migrate the DB from IBM Power AIX-based servers to Oracle Exadata X7 > Setup a high-availability solution, based on geo-replication between Eastern European and European datacenters > Ensure the migration downtime window to be less than 4 hours > Migrate Weblogic-based enterprise application Accomplishments: > Highly-available, scalable architecture has been developed, comprising Oracle RAC, geo-distributed DataGuard system, Cascade Active DataGuard for offloading reporting workload > A custom two-phase migration approach has been developed to ensure downtime windows of less than 4 hours > The migration solution based on XTTS for Phase One and on Data Guard switch-over for phase 2 > The migration procedure has been scripted to minimize the downtime and manual work > The load testing plan has been developed, using Oracle Database Replay > The solution has been implemented within 4 months, meeting the deadline requirements Technologies: - Oracle Database - Oracle Exadata - Oracle Cross-Platform Transportable Tablespaces (XTTS) - Oracle Enterprise Manager Cloud Control - Oracle Grid Infrastructure - Oracle Real Application Clusters - Oracle DataGuard - Weblogic Server - Oracle Database Replay - AIX - Oracle Enterprise Linux Workload: 945 hours Project team: - 2 x Senior Oracle Exadata Administrator - 2 x Senior Oracle Middleware Administrator - Senior Oracle Database Architect - Project Manager

Education

  • Bachelor

    Bachelor of Engineering (BEng) in Information Security

    2007-01-01-2011-01-01

  • Engineer

    Engineer's degree in Computer science

    2007-01-01-2013-01-01

  • Master of science

    Master of Science (MS) in Computer science

    2018-01-01-2020-01-01

Languages

  • English
  • Spanish
  • French