Diego Rocha ∴ — DevOps Engineer
Having 15+ years of depth experience in design, analysis, development and implementation of various BI and Data & Analytics Solutions (Data Warehousing, Data Lake, ETL and Data pipelines) and industries (finance, oil & gas, logistic, retailers, health insurance, telecommunications and mining). • Over 5 years of experience leading multidisciplinary tech teams • Knowledge in the data solutions of the three major clouds (Amazon Web Services (AWS), Microsoft Azure and Google Cloud (GCP)) • Certified in the Databricks as Data Engineer Associate. • Certified in the Databricks as Data Engineer Professional. • Certified in the Microsoft Azure as Data Engineer Associate. • Certified in the AWS as Data Engineer Associate. • Strong ability to work with corporate finance units to formulate business and data requirements. • Experience includes all aspects of design, analysis, development and implementation of multi-dimensional applications (budgeting and financial planning). • Having a problem-solving mindset and experience dealing with and managing customer relationships and expectations. • Excellent insights into the functional and technical aspects of SQL and NoSQL databases, Azure Data Services, Data Architecture, Python, Spark, Data Lake architecture and Databricks . • Skilled in automation, optimization and performance tuning of transactional and master data processing, upgrading, testing and migrating of data models in different environments. • Strong analytical and organizational skills with an ability to deliver on agreed timescales. Demonstrated experience working in a team environment. Tech Stack and frameworks: Databricks (Lake Flow, Worflows, Unity Catalog, Delta Tables, Delta Live Tables, Genie, Jobs, Declarative Pipelines) | Azure (Data Factory, Storage Account, Azure Datalake (ADLS2), Synapse Analytics, Logic Apps, SQL, Cosmos DB, Entra ID, Azure Key Vault, Azure Functions) | AWS (IAM, EKS, Athena, Glue, Redshift, EMR, EC2, S3, Kinesis, Quicksight, CloudWatch, Lambda) | GCP (Cloud Storage, Cloud SQL, Cloud Firestore, BigQuey, BigTable, Pub/Sub, DataProc, Data Fusion, Cloud Composer, DataPrep) | Airflow | SQL | PLSQL | MySQL| T-SQL | PostgreSQL| Teradata SQL| NoSQL| MongoDB, Cosmos | Python| PySpark | Shell Script | Docker | Kubernetes | Github | Azure Git | CI/CD | Azure DevOps | Data Engineering | Data Modelling | Data Governance | Programming | Agile (Scrum, Kanban)
Stackforce AI infers this person is a Data Engineering expert in multi-cloud environments, specializing in BI and analytics solutions.
Location: Rio de Janeiro, Rio de Janeiro, Brazil
Experience: 6 yrs 3 mos
Skills
- Data Engineering
- Cloud Solutions Architect
- Big Data
- Etl
- Business Intelligence
- Data Quality
- Data Governance
- Data Modeling
Career Highlights
- 15+ years in BI and Data & Analytics Solutions.
- Expert in multi-cloud data solutions: AWS, Azure, GCP.
- Certified Data Engineer in Databricks and Azure.
Work Experience
BlueShift Brasil
Account Executive (2 yrs 4 mos)
Data Engineering Lead | Data Architect (5 yrs 7 mos)
Supergasbras
Sr. Data Engineering Lead (1 yr 10 mos)
Leroy Merlin
Data Engineering Lead (4 mos)
Oi
Data Engineer Specialist (6 mos)
Agência Nacional de Saúde Suplementar - ANS
Sr. Data Engineer | Tech Lead (4 yrs 10 mos)
Vale
Sr. Data Quality Analyst (6 mos)
Bradesco Seguros
Data Administrator (1 yr 9 mos)
Grupo Trigo
Analyst (7 mos)
Total Express
Analyst (8 mos)
Education
AI & Data Manager at Strides Tech Community
MBA - Artificial Intelligence and Machine Learning at PUC Minas
MBA Data Science and Big Data at PUC Minas
Analysis and Systems Development at Centro Universitário UniCarioca