I am a Data Professional with over four years of experience in data engineering, data analysis, and data science. My expertise covers a wide range of data processes, including building and optimizing end-to-end data pipelines, conducting advanced data analysis, and developing predictive models. I leverage tools and platforms like:
- dbt, Databricks,Databricks Asset Bundles, Snowflake, Apache Kafka
- AWS Services (S3, Redshift, Athena, etc.)
- Google Cloud Platforms (GCS, Google BigQuery etc.)
- Python, SQL, R
- Power BI, Tableau, Looker, QuickSight
- Airflow, Git, GitHub Actions for version control and CI/CD automation
With six years of prior experience in real estate, I bring cross-domain insights into data problem-solving. I hold a Bachelor's degree in Real Estate and multiple certifications in data analytics/engineering.
- Data Pipelines: dbt, Databricks, Databricks Asset Bundles, Snowflake, AWS (S3, Redshift), GCS, Google BigQuery, Apache Kafk
- Programming: Python, SQL, R
- Data Visualization: Power BI, Tableau, Looker, QuickSight
- Version Control: Git, GitHub, GitHub Actions
- Cloud Platforms: AWS, GCP
- Orchastration: Airflow, Github Action
- End-to-End Data Management: Handling data processes from extraction and transformation to loading (ETL/ELT) and modeling
- Data Science: Building predictive models and performing advanced analysis to uncover insights
- Data Engineering: Optimizing data pipelines and ensuring efficient data flow
- Anomaly Detection: Developing models to ensure data accuracy and reliability
- Collaboration: Working with stakeholders to define and track KPIs, driving data-driven strategies
Visit my YouTube page to view demonstrations of my projects: @Data_Pipeline_Lab


