Thiago Menezes
Senior Solution Architect @Data Elephant
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WORK HISTORY
Senior Solution Architect @Data Elephant
EDUCATION
University of Ottawa
Master of Interdisciplinary Artificial Intelligence (MIAI), Data Analytics and Cybersecurity
IPOG - Instituto de Pós-Graduação e Graduação
Post-graduation in MBA Executive in Business Intelligence, Business Intelligence
UniCEUB - Centro Universitário de Brasília
Bachelor's degree in Computer Engineering, Engineering
ABOUT THIAGO MENEZES
With a rich experience spanning 20 years in the IT sector, I have spent 18 of those years specializing in the Data & Analytics industry. My academic credentials include a Master of Interdiciplinary Artificial Intelligence, an MBA with a focus on Business Intelligence. My expertise lies in various Cloud Environments (Azure, AWS, GCP, IBM Cloud), Datalakes (Databricks, Snowflake), Big Data Hadoop (Hortonworks, Cloudera), and IBM Cloud Pak for Data (CP4D)/Information Server (DataStage, Watson Knowledge Catalog (WKC), Governance Catalog (IGC), Information Analyzer (IA)). I am well-versed with Agile Methodology and adhere to industry best practices in project management.My professional goal is to leverage my skills in the architecture, implementation, and management of Business Intelligence and Analytics Environments, whether they are on-cloud, on-premises, or hybrid (Openshift).Summary- 20 years in IT, specializing in Architecture and Infrastructure- 18 years in Business Intelligence (Data Warehouse and Big Data)- 14 years with IBM IIS DataStage (v7.5 to v11.7, certified)- 12 years architecting and managing Cloud Environments (Azure, AWS, GCP, IBM)- 12 years with BigData/Hadoop (IBM Hadoop Big Insights, Hortonworks, Cloudera)- 9 years with Databricks and Snowflake- Experienced in machine learning and artificial intelligence, including designing predictive models, applying NLP techniques, and leading ML/GenAI initiatives to support data‑driven decision making in cloud and Lakehouse environments- Expertise in managing Architecture and Infrastructure of IBM IIS and Hadoop environments, including Ambari, Ranger, Yarn, HDFS, Hive, Impala, BigSQL, ZooKeeper, Kafka, Flume, Solr, Sqoop- Experience with high-performance environments, Data on Hadoop, HDFS, Snowflake, Databricks Lakehouse, Redshift, BigQuery, Cloud SQL, Glue, Lambda Function, Synapse, Data Factory, Sqoop, Flume, Kinesis, BigSQL/HIVE, Spark Job/AWS EMR- Strong experience with Azure Data Lakehouse and Medallion Architecture. Azure tools: Databricks, Data Factory, Synapse, Streams Analytics, Azure SQL, Cosmos DB, Event Hub, Azure Functions, etc- Deep knowledge of AWS tooling including serverless data solutions: S3, SQS, Kinesis, Lambda, Glue, Glue Crawler, Redshift/Snowflake, Redshift Spectrum, Athena, QuickSight- Architectural knowledge on Google GCP, Docker and Kubernetes deployment, Cloud Storage, Cloud SQL, Spanner, Firestore, Bigtable, BigQuery, Datastore, DataFlow, Memorystore for Redis, Dataproc- Proficient in Unix and Linux, Python, Spark, Perl, Shell, Java, C, SQL, PL SQL scripting.
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