As a Data Engineer with a strong understanding of the Data Product Life Cycle, I am seeking new opportunities to utilize my expertise in Python, SQL, and Big Data Engineering. I am particularly interested in working in domains such as Blockchain, Healthcare, or Computer Networking, where I can contribute to creating impactful solutions that make a difference on a global scale. I have extensive experience working with terabytes of data and am excited to apply my skills in new and challenging projects. In my previous role at Banque Misr, I was a data scientist intern. My core responsibilities involve data collection from internal data sources, data processing and preparation to ensure data quality and accuracy, feature engineering, selecting the most appropriate machine learning model, creating the data pipeline for training the model, validating the ML model, and finally persisting the ML model to production. I used Python, Power BI, Scikit Learn, data analysis, and machine learning. Finally, I met the deadline by working with my team members to ship an ATM congestion machine learning model used as an internal service. 📚 I am currently reading about Distributed Systems and Computing in the context of Data Engineering I love to share my knowledge and experience in Data Engineering on Twitter: https://twitter.com/mohamedawnallah Moreover, I love to contribute to data engineering open-source projects one of them is Ceph which is a distributed data storage open-source solution. You could check out my GitHub profile for more information: https://github.com/mhmdawnallah For all my content creation on social media platforms checkout this my bio link: https://bio.link/mohamedawnallah 🔑 𝐊𝐞𝐲 𝐒𝐤𝐢𝐥𝐥𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐚𝐮𝐠𝐞𝐬: Python, SQL, Scala 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, MongoDB 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Amazon Web Services 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Kafka, Spark 𝐎𝐫𝐜𝐡𝐞𝐫𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: Airflow, Docker 𝐒𝐨𝐮𝐫𝐜𝐞 𝐂𝐨𝐝𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐓𝐨𝐨𝐥𝐬: Git, GitHub 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: Pytest, Unittest, Allure 𝐁𝐈 𝐭𝐨𝐨𝐥𝐬: Excel, Google Sheets, Tableau 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: FastAPI 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬: Linux, macOS, Windows 𝐂𝐨𝐦𝐦𝐚𝐧𝐝-𝐒𝐡𝐞𝐥𝐥 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠 𝐓𝐨𝐨𝐥𝐬: Bash Scripting 𝐎𝐭𝐡𝐞𝐫: Software Engineering, Data Modelling, Data Structures, Algorithms, Object-Oriented Programming, Networking fundamentals, System Design