Thiago Menezes

Background

About Thiago Menezes

I am a business professional with 17 years in IT world, 15 years background in Business Intelligence industry. I have a post-graduate MBA in this area and I am specialized in Hadoop (HortonWorks, Cloudera), Cloud Environment (GCP, AWS, Azure, Databrics, Snowflake) and IBM Cloud Pak for Data (CP4D)/Information Server that includes DataStage, Watson Knowledge Catalog (WKC), Governance Catalog (IGC), Information Analyzer (IA), and etc. Working with Agile Methodology and with the best-practices project related. My goal is to work Architecting / Implementing / Managing Business Intelligence and Analytics Environments on-Cloud/On-Premise/Hybrid Hadoop/ETL. Summary- 17 years in the IT Industry. Strong background in Architecture and Infrastructure Projects- 15 years background in Business Intelligence (Data Warehouse and Big Data) Projects- 14 years of experience with IBM IIS DataStage from the v 7.5 to v 11.7 (certified)- 8 years of experience with Cloud (AWS, Azure and GCP)- 8 years of experience with BigData/Hadoop: IBM Hadoop Big Insights, HortonWorks and Cloudera- Proven skills in Managing Environments with IBM IIS and Hadoop. Architecting, administering, updating, migrating and dealing with Infrastructure. Work with Ambari, Ranger, Yarn, HDFS, Hive, Impala, BigSQL, ZooKeeper, Kafka, Flume, Solr, Sqoop, etc- Proven skills Architecting and Managing Cloud Environments: IBM Coud, Google GCP, Amazon AWS, Microsoft Azure- Experience with High-Performance environments and Clusters for High Availability and Disaster Recovery (AIX, Zlinux) on-premises and on-Cloud (IBM BlueMix, Azure, GCP, AWS, OpenShift), work with a High-Volume Data on Hadoop, HDFS, Redshift, BigQuery, Cloud SQL, Snowflake, Databricks, Glue, Lambda Function, Synapse, Data Factory, Sqoop, Flume, Kinesis, BigSQL/HIVE, Spark Job/AWS EMR- Deep knowledge on AWS tooling including Serverless data solutions: S3, SQS, Kinesis, Lambda, Glue, Glue Crawler, Redshift/Snowflake, Redshift Spectrum, Athena, QuickSight. Manage EC2 and EMR (including build a bootstrap action flow), manage IAM groups and users and also VPCs- Architectural knowledge on Google GCP, Scaling and Automation, Docker and Kubernates deployment, Cloud Storage, Cloud SQL, Spanner, Firestore, Bigtable, BigQuery, Datastore, DataFlow, Memorystore for Redis, Dataproc (run Hadoop, Spark, Hive, and Pig on GCP)- Ability to work on Unix and Linux, develop and use python/spark/pearl/shell/Java/C/SQL/PL SQL scripts- Proven skills modelling Relational/Dimensional models. Developing SQL, PL/SQL and tuning queries.