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

My interests lie in data engineering, analytics, and automation. I enjoy building data pipelines, integrating data from different sources, transforming raw data into meaningful insights, and creating solutions that support data-driven decision-making.

Currently, I am expanding my skills through practical projects involving Apache Kafka, Apache Airflow, Apache Spark, PostgreSQL, MongoDB, ClickHouse, Grafana, and Power BI, while continuing to strengthen my expertise in Python and SQL.

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

• Apache Kafka
• Apache Airflow
• Apache Spark
• ETL Development
• Data Cleaning & Transformation

• PostgreSQL
• SQL Server
• MongoDB
• ClickHouse

• Power BI
• Grafana

• Git & GitHub
• Docker
• REST APIs
• Web Scraping

Real-time spam classification pipeline using Kafka, Machine Learning, and PostgreSQL.

Tech: Kafka, Python, PostgreSQL, Scikit-Learn

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

• Apache Spark
• ClickHouse
• Data Warehousing
• Data Modeling
• Distributed Data Processing
• Real-Time Data Pipelines

• Data Engineering
• ETL & ELT Pipelines
• Data Platforms
• Analytics Engineering
• Big Data Processing
• Workflow Automation

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

GitHub: https://github.com/SamiraSiavash

Email: s.siavash.m@gmail.com

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