Daniel F.

T Infrastructure Project Management and Implementation - database layer: Oracle and MS SQL Server. Cloud Consulting - Azure, SQL Azure DB. People Management: 24x7 technical support and projects team coordination. IT Business Management: participation in conception, marketing, implantation and settings of new enterprise strategic models. participation in conception, marketing, implantation and settings of new enterprise strategic models. coordination. IT Business Management: participation in conception, marketing, implantation and settings of new enterprise strategic models. Projects: Big Data: Analytics Architecture design for a massive data ingestion and analytics with building Data Lake (SQL Server, SSAS, Apache Hadoop, Spark, Sqoop, HDFS +Yarn ) in VM or Azure Data Lake; Implementation of BI with SQL Server, SSIS and Power BI; Microsoft SQL Server, Oracle and PostgreSQL performance, tuning and architecture expert; Auditing SQL Server instances focused on performance and security issues; Upgrade SQL Server versions 2K8 and 2K8R2 to 2K16 and 2K17; Oracle 11g/12c migration to AWS RDS and Stand-By instances; Implementation of Azure Disaster Recovery from on-premises infrastructure using Multi-AZ; Implementation of MS SQL Server Cluster, Always On, Replication and Log Shipping to on promises and Azure/AWS; Oracle and SQL Server databases migration at Equinix Data Center Batch Layer using Data Factory, Databricks, Synapse, Storage Account v2 (Data Lake) in Parquet, Delta Lake and other formats and Power BI Dataflows. For Speed Layer using EventHub (Kafka), Stream Analytics and CosmosDB also Datalake and PowerBI. ETL integration for multiple Sources like Oracle, AWS and GCP. Responsible for running POC on CDC on Oracle Goldengate, Stream, Attunity, Striim and Informatica vendors. Developing some pipelines for test. Deploying Polices of Data Governance and tools as Azure Purview (Data catalog, Data Lineage and Glossary). inGaia (Software as a Service Company): SQL Server, MongoDB Atlas using live migration, Google Big Query, data analysis, performance tuning and architecture refactoring, Elastic Stack implementation (Elasticsearch, Logstash, Kibana, Beats for APM, Logs and Metrics), Zabbix implementation from zero-tohero