Data Engineer | Data Warehousing | BI & Data Architecture

I have a background in financial software implementation and support, with hands-on experience working with business processes, databases, and real-world data.

My focus is on building reliable and maintainable data solutions across Data Engineering, Data Warehousing, Business Intelligence, and Data Architecture. I am particularly interested in designing data pipelines, integrating data from multiple sources, transforming and modeling data, and building analytical solutions that support data-driven decision-making.

My technical experience includes SQL Server, PostgreSQL, Python, Apache Airflow, Apache Spark, Apache Kafka, Docker, ClickHouse, Power BI, and Grafana.

I have built practical data projects involving ETL/ELT pipelines, data integration, workflow orchestration, streaming data, data visualization, and analytical dashboards.

I am currently deepening my expertise in Data Warehouse architecture, dimensional modeling, data quality, and modern data platforms, with a particular interest in scalable data architectures and Lakehouse solutions.

• Python
• SQL
• Scala (Apache Spark Fundamentals)
• Linux

• Apache Kafka
• Apache Airflow
• Apache Spark
• ETL / ELT Development
• Data Cleaning & Transformation
• Data Integration
• Data Pipelines

• PostgreSQL
• SQL Server
• MongoDB
• ClickHouse

• Power BI
• Grafana

• Elasticsearch
• Logstash
• Kibana

• Git & GitHub
• Docker
• REST APIs
• Web Scraping
• JSON / API Data Processing

End-to-end ETL workflow for extracting, transforming, and loading SMS datasets.

Tech: Python, PostgreSQL, ETL

Automated data ingestion pipeline that extracts data from the Divar API and stores it in PostgreSQL.

Tech: Python, REST API, PostgreSQL

Workflow orchestration and scheduling using Apache Airflow.

Tech: Apache Airflow, Python, PostgreSQL

Data preprocessing, cleaning, and transformation workflow for analytics-ready datasets.

Tech: Python, Pandas

Large-scale dataset processing, cleaning, and transformation using Apache Spark.

Tech: Spark, Python, Scala, Parquet

Analytical processing and reporting using ClickHouse, PostgreSQL, and Grafana.

Tech: ClickHouse, PostgreSQL, Grafana

Interactive dashboards and KPI monitoring for business analytics.

Tech: Grafana, PostgreSQL

Interactive Power BI dashboard for analyzing student performance metrics.

Tech: Power BI, DAX, Data Modeling

Web scraping project for collecting and storing perfume product data.

Tech: Python, Requests, BeautifulSoup, SQLite

• Databricks
• Lakehouse Architecture
• Data Warehousing
• Data Modeling
• Distributed Data Processing
• Apache Spark
• Real-Time Data Pipelines
• Data Architecture & Design

• Data Engineering
• Data Platforms & Data Pipelines
• ETL / ELT Development
• Data Architecture
• Big Data Processing
• Analytics Engineering
• Workflow Orchestration

LinkedIn: https://linkedin.com/in/samira-siavash

GitHub: https://github.com/SamiraSiavash

Email: [email protected]

Let’s connect and talk about data, BI, and engineering solutions!