Ahmed Sayed

An industrious professional specializing in data engineering for more than 13 years, I am currently leading the data engineers' team with a comprehensive background in various data stack technologies. My prowess extends across Hadoop, SQL, Spark, Python, Airflow, Scala, Java, Talend, SSIS, Data Stage, PDI, Google Cloud, and Azure.

Data Streaming is a domain that particularly enthralls me, and I have acquired significant expertise in using Kafka for the same. As a core competency, I specialize in designing and building robust data architectures on diverse platforms, be it on-premises or cloud-based platforms like Azure, Google Cloud Platform, and AWS.

Over the years, I've provided numerous solutions in data migration and automation, effortlessly crafting data models and designing warehouses using dimensional models, data vaults, and data marts. A keen advocate for modern lake houses, I have substantial experience in Data Lake designs and implementations.

Proficient in a wide array of databases such as SQL Server, PostgreSQL, MySQL, Oracle, Netezza, Cassandra, Mongo, Azure NoSQL, Vantage, Gemin, Neo4j, Arango, Vector, Redshift, Big Query, and many others, I also excel in ensuring data security and compliance across all my projects.

My skills extend to Microsoft Azure, where I've built data pipelines, created real-time streaming data solutions, and worked extensively with Azure Synapse, Azure Data Lake, Azure Blob Storage, Azure Databricks, and Azure Stream Analytics. Likewise, I am familiar with AWS EC2, Redshift, Glue, Athene, and GCP Data Flow, Big Query.

In addition to this, I have developed API solutions, both RESTful and GraphQL using Python Flask, Django, and Fast API. I've also crafted data solutions for web applications and worked with AI solutions like GPT, Azure Cognitive, and Google NLP, including fine-tuning.

Experienced in building and developing custom ML and NLP Models, I am proficient in Process Automation RPA, utilizing tools like UIpath. The intersection of data, technology, and problem-solving fuels my passion, and I am consistently striving to push boundaries and deliver solutions that exceed expectations.

My mission is to leverage my data engineering skills and expertise to create innovative and scalable solutions that address the complex challenges and opportunities in many industries. I enjoy collaborating with cross-functional teams of data scientists, product managers, user experience researchers, and software engineers to understand data needs and deliver on them. I am always eager to stay up-to-date with new technologies