Welcome to my GitHub profile! I'm a data professional with over 7 years of experience in developing data-driven solutions for diverse industries and startups. My expertise lies in optimizing data processing, ETL, improving decision-making, and reducing costs through data analysis. I'm adept at building and managing relationships across teams to achieve business growth and drive market presence.

• 🔭 I’m currently working as a Data Analyst / Engineer at Rahmati Consultancy Co.
• 🌱 I’m currently improving my German language skills
• 👯 I’m looking to collaborate on open-source projects related to data analysis and engineering
• 💬 Ask me about Python, SQL, data processing, and cloud infrastructure
• 📫 How to reach me: amir@darvishi.me

September 2023 - Present

• Implemented a Python and DBT driven automated data system: Aggregated data from 1700+ Excel files, enhancing data analysis efficiency and accuracy.
• Optimized data quality using SQL-based processes: Improved decision-making through accurate data.
• Identified 200 cross-selling opportunities via Python and SQL analysis: Achieved a projected 23% growth in sales.

April 2019 - August 2023

• Enhanced financial data aggregation with APIs: Achieved a 30% reduction in query response time.
• Developed a stock analytics solution: Analyzed 700+ stocks in real-time, informing trading strategies.
• Streamlined bond and stock data analysis with custom algorithms: Enabled data-informed investment decisions.
• Architected Pitopay.com's data infrastructure: Seamlessly integrated three blockchain networks.
• Improved data processing efficiency with the TimeScaleDB plugin: Reduced customer waiting time by 80%.

June 2017 - April 2019

• Built data models and analytics tools: Supported strategic decision-making with informed insights.
• Minimized merchant acquisition costs by 70%: Leveraged data analysis to identify effective strategies.

March 2014 - June 2017

• Developed automated data capture solutions using barcode and RFID: Enhanced data collection and processing in textile industries.
• Implemented data-driven solutions in 8 textile companies: Enabled informed decision-making and increased customer satisfaction.

Programming: Python, C#, PHP, Pandas, Numpy, Scikit, Jupyter, Plotly, Matplotlib
Databases: MS SQL, PostgreSQL, MySQL, MongoDB, Redis, TimeScaleDB, TimeSeries data, Familiarity with NoSQL DBs
Data Engineering Stack: Snowflake, Spark, Hadoop, Kafka (in progress), Airflow, DBT
Cloud and Infrastructure: AWS ecosystem (Redshift, S3, EMR, Kinesis, Glue,…), Microsoft Azure
APIs: REST, SOAP, Webhooks, JSON, XML
Software Development: Agile Software Development, SCRUM, Jira, Code Repositories (GitHub & Gitlab), CI/CD
Service Stack Management: Linux and Windows servers, Containers and orchestration (Docker, Docker Swarm), Database servers
MS Office: Word, Excel, PowerPoint, Outlook

• English: Full Work Proficiency (IELTS General 7.5)
• German: A1, and learning in progress
• Turkish: Fluent

IAU University of Parand - Tehran
September 2011

• B.Sc. in IT Engineering

• LinkedIn
• Email

• Special thanks to my mentors and colleagues who have supported my professional journey.