Melat Teshome

Melat
Teshome

A Data Engineer with a Strong Software Engineering Background

Learn more about me

Projects

From raw data to reliable insights: warehouses, streaming pipelines, and analytics.

SQL Data Warehouse

Brings ERP and CRM data together in a SQL Server warehouse for sales reporting and analysis.

  • Bronze, Silver, and Gold layers for ingestion, cleansing, and validation.
  • A star schema that turns source data into analytics-ready tables.
  • SQL Server
  • ETL
  • SQL
  • Star Schema
View on GitHub

Sales Analytics Warehouse

Transforms e-commerce customer, product, and order data into a Snowflake warehouse for sales analytics.

  • Incremental dbt models and tests for reliable transformations.
  • Fact and dimension models with SCD Type 2 to preserve history.
  • Snowflake
  • dbt
  • SCD Type 2
View on GitHub

Near Real-Time Retail Pipeline

Combines batch retail data and live clickstream events into query-ready datasets for e-commerce analytics.

  • Kafka and Spark enrich live events with product and inventory data.
  • Airflow orchestrates the batch and streaming workflows.
  • Kafka
  • Spark
  • Airflow
View on GitHub

Healthcare Data Pipeline

Continuously ingests patient admission JSON into Snowflake and transforms it into structured healthcare datasets.

  • VARIANT storage accommodates changes in incoming JSON schemas.
  • Layered dbt models clean and validate data for a star schema.
  • Python
  • Snowflake
  • Snowpipe
  • dbt
View on GitHub

Social Media & Productivity

Explores social media usage and predicts its impact on productivity through an interactive dashboard.

  • Exploratory analysis of data sourced from PostgreSQL.
  • Streamlit visualizations make patterns and findings easy to explore.
  • PostgreSQL
  • EDA
  • Streamlit
View on GitHub