Data engineer with 6 years of hands-on experience in the space of data, with focus on data engineering, ETL/ELT development specializing in data warehousing, data pipeline development, data visualization, data science and advanced analytics.
Below are my skills and specifications:
[Programming and Analytics]
>>> Advanced SQL and Python:
- dbt
>>> Apache Spark Ecosystem:
- Spark
- PySpark
- SparkSQL
>>> Data Visualization:
- Microsoft Power BI
- Tableau
[Tools, Cloud and Technologies]
>>> Microsoft Azure:
- Databricks - Unified Analytics
- Synapse Analytics - Big Data Analytics
- Data Factory - ETL
- ADLS - Data Lake Storage
- Delta Lake
>>> Amazon Web Services (AWS):
- Redshift/Redshift Spectrum - Data Warehousing
- S3 - Storage
- Lambda - Serverless Compute
- Glue - ETL
>>> Google Cloud Platform (GCP):
- BigQuery - Data Warehousing
- Google Cloud Storage - Storage
- Data Studio - Visualization
>>> Snowflake:
- Snowflake for Data Engineering
- Snowflake for Analytics
[Areas and fields of expertise]
>>> Enterprise Data Analytics and Analysis
>>> Enterprise Data Engineering, Data Warehousing, ETL/ELT and Big Data
>>> Enterprise Data Modeling and Data Architecture
>>> Data Visualization and Data Quality Assurance
>>> DevOps, Git, Jira/Confluence, CI/CD
