๐ป Cloud Data Engineer | SQL Developer | Data Analytics Enthusiast
๐ Based in India | ๐ Open to opportunities across India and abroad | โฑ Immediately Available
- Working with Snowflake, SQL, ADF, ADLS, AWS S3, and Power BI on real-world data projects
- Building and experimenting with ETL / ELT pipelines, data warehousing concepts, and automation using Streams, Tasks, and Snowpipe
- Enjoy creating Power BI dashboards that turn raw data into clear insights
- Learning and using Python (Pandas) for basic data cleaning and CSV/Excel preprocessing
- Curious by nature and motivated by solving data problems and improving pipeline reliability
Here are some of my hands-on projects that show what I can build:
-
snowflake_proj5_handling_semi_unstructured_data
Loading JSON/semi-structured data into Snowflake (using VARIANT, FLATTEN), extracting structured values, and querying. -
snowflake_proj6_snowpipe
End-to-end setup for automated data ingestion using Snowpipe. -
snowflake_proj7_tasks_scheduling
Automating recurring workflows and downstream tasks in Snowflake with task scheduling. -
snowflake_proj12_streams
Implementing Streams for Change Data Capture (INSERT, UPDATE, DELETE), plus integration with S3 data loads. -
snowflake_proj15_aws_load_handling_json
Handling semi-structured JSON data loading from AWS S3 into Snowflake, with parsing and transformation. -
snowflake_swiggy_end_to_end_data_pipeline_project
End-to-end Swiggy-like data engineering pipeline: staging, cleaning, consumption layers with Streams, Tasks, and SCD-2 implementation in dimensions. -
snowflake_data_engineering_end_to_end_project
Enterprise-scale end-to-end project: real-time ingestion, CDC via Streams, Tasks automation, data quality pipelines, and Gold layer analytics for retail domain. -
SQL_retail_sale_project
Retail sales data exploration & insights: data cleaning, aggregation, trend analysis, KPIs, etc., using PostgreSQL / SQL. -
power_bi_sports_by_skills_report
Interactive Power BI report analyzing player skills and performance across sports with dynamic KPIs and dashboards.
- ๐ง Email: [email protected]
- ๐ผ LinkedIn: Choudhury Debashis Dash
โจ Always learning, always building โ data tells the story, I make it clear.