Hello there! π
Iβm a passionate Data Engineer with expertise in designing and implementing scalable data solutions. I work across multiple platforms and tools to transform raw data into actionable insights that drive decision-making and innovation.
- SQL: Proficient in writing complex queries, optimizing performance, and designing relational database structures.
- Python: Expertise in scripting, automation, and data manipulation using libraries like Pandas, NumPy, and Matplotlib.
- Apache Spark: Skilled in distributed data processing, optimizing transformations, and handling massive datasets.
- PySpark: Specialized in DataFrame operations, performance tuning, and advanced analytics on Spark.
- Apache Airflow: Orchestrating complex workflows and ensuring robust ETL pipelines.
- Azure: Extensive experience in Azure Data Factory, Databricks, and cloud-based data engineering workflows.
- AWS: Building scalable and resilient architectures with AWS S3, Glue, and Lambda.
- Databricks: Expertise in building and optimizing big data pipelines for real-time processing and analytics.
- Data Warehouse: Proficient in designing and managing data warehouses for seamless querying and reporting.
- Docker: Containerizing applications and ensuring consistency across environments.
- GitHub: Managing version control and collaborating effectively across teams.
- Power BI: Designing interactive dashboards and reports to visualize complex datasets.
- Microsoft Fabric: Exploring new frontiers in data visualization and analytics.
β¨ End-to-End Data Engineering: Architecting and implementing robust data pipelines for ETL processes.
β¨ Cloud Integration: Leveraging Azure and AWS for scalable and efficient data workflows.
β¨ Big Data Solutions: Managing massive datasets and optimizing performance using Spark and PySpark.
β¨ Data Visualization: Crafting insightful dashboards and reports with Power BI and Microsoft Fabric.
- ποΈ Mastering Microsoft Fabric and Data Mesh Architectures.
- π Exploring multi-cloud integrations and hybrid architectures.
- π Enhancing skills in Data Warehousing and BI Tools.
π¨βπ» Letβs build the future of data together!