Data Engineer, Data Architect
Summary
Ive been working for more than 25 years in the IT area helping Companies to build Systems in
different areas to control business information and to extract/ingest/enrich data using many
types of sources/technologies to generate quality insights for the business. I'm goal-oriented, with
strong analytical and problem-solving skills, resilient, and always willing to learn and improve using
best practices to create solutions that generate value for the companies, working with
cross-functional teams, building applications, and performing root cause analysis on internal
and external data/processes to answer specific business questions and identify opportunities/improvements.
I worked in many roles/tasks during my career such as Systems Operator, Support and Systems Analyst,
Software Development, Data Engineer, Database Engineer, Data Analyst, Data Architect, Data
Transformations, Data Structures, Metadata, Data Integration, Data Migration, Database
Analyst/Developer/Design/Management, Data Warehouse, Data Lake, Data Discovery, Data Replication, Business
Intelligence, Data Modeling (Dimensional/Relational), Performance Tuning - SQL,PL/SQL, optimizing Data
Pipelines, working with large databases and datasets(structured/unstructured), testing, validation,
implementation, and troubleshooting skills, performance and resource optimization improvements,
maintaining development/test/production environments, automation processes (monitoring, alerting, auto-
corrective) and distributed systems, Agile (Scrum, Kanban), DevOps, DataOps, Data Reliability.
I've been dedicating my studies to Data Engineering, Architecture, Big Data, Cloud Computing on Extension
Programs improving my skills in Databricks, AWS, GCP, Azure, Apache Ecosystem (Hadoop, Spark, NiFi, Kafka,
Hive, and others), Python (Boto, PySpark, Pandas, SQLAlchemy), Scala, Java, Data Warehouse, Data Lake,
Data Lake House, Data/Dimensional/Relational Modeling, ETL/ELT (Pentaho, Wherescape, ODI, AWS Glue, AWS
Athena, Azure Data Factory), Orchestration (Airflow, Prefect), Machine Learning, Microservices,
Elasticsearch, Snowflake, Dremio, Redshift, DynamoDB, MongoDB, Oracle, SQL Server, MySQL, PostgreSQL,
Amazon Kinesis, Amazon EMR, Azure HDInsight, Azure SQL, Security, High Availability, Cluster, Docker,
Kubernetes, Helm, Terraform. Recently, I participated in workshops with a focus on AWS, Azure, GCP,
Databricks, Python, Spark, Kafka, Enterprise Data Hub (EDH)...
Expectations
I'm looking for new opportunities to keep growing in my career and become an ever-better person/professional. I would like to help build products that can change the world, and improve people's lives using technology.
Employment Preferences
Relocation destinations:
- United States
- United Kingdom
- Canada
Expected Base Salary
**0,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Databricks
- Snowflake
- Oracle
- SQL Server
- MySQL
- PostgreSQL
- AWS
- GCP
- Azure
- Python
- PySpark
- Spark
- Kafka
- Data Warehouse
- Data Lake
- Data Lakehouse
- Data
- Dimensional
- Relational Modeling
- ETL
- ELT
- Pentaho
- Wherescape
- ODI
- AWS Glue
- AWS Athena
- Azure Data Factory
- Orchestration
- Airflow
- Prefect
- Machine Learning
- Microservices
- Elasticsearch
- Dremio
- MongoDB
- Docker
- Kubernetes
- Terraform
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