I develop transformative solutions as a Senior Technical Lead and AI Engineering expert with over 22 years of experience in creating enterprise-scale, cloud-native applications. My expertise spans industries like Hospitality, Banking, Healthcare, and Telecom, where I have successfully modernized legacy systems and led high-performing teams. Proficient in Java, Spring Boot, AWS, Azure, and Microservices, I specialize in leveraging AI-assisted development to drive innovation and efficiency. I thrive on tackling complex challenges and delivering scalable technology solutions that align with business goals. If you're looking for an engineering leader who can transform your digital landscape and elevate your projects, I am eager to connect and discuss how I can contribute to your success. Full Stack Developer , Enterprise developer with • Cloud & DevOps AWS, Azure, PCF, OpenShift, Docker, Kubernetes, Jenkins, GitHub Actions, Azure Pipelines, Terraform, CI/CD • Backend Technologies Java, J2EE, Spring Boot, Spring Cloud, Hibernate, JPA, Kafka, JMS, REST APIs, SOAP Services • Frontend Technologies ReactJS, Angular 7+, JavaScript, TypeScript • Databases Oracle, DB2, MySQL, MongoDB Atlas, Redis, Cosmos DB, Sybase • Big Data & Analytics AWS Kinesis, Hadoop, Cloudera, Spark, PySpark, EMR, Redshift, Sqoop, HBase • AI & Engineering Platforms Claude/Cline, GitHub Copilot, AWS AI-DLC, MCP Integrations, Observability Platforms, Grafana • Enterprise Platforms STIBO STEP MDM/PIM, Pega PRPC, DAM Platforms, ContentStack

I am a backend software engineer with 4+ years of experience building scalable, reliable, and high-performance systems for large-scale platforms. My recent work includes TikTok Live Wallet and Shopee’s User Profile Platform, where I worked on wallet systems, payments, settlement, real-time compliance checks, high-QPS caching, data migration, and backend API development. I have hands-on experience with Go, Java, MySQL, Redis, Kafka, HBase, ClickHouse, Elasticsearch, and distributed system design. I can help you build: • Scalable backend services and REST/RPC APIs • Payment, wallet, settlement, and transaction systems • Real-time data processing, caching, and high-concurrency systems • Clean, maintainable, production-ready backend architecture • AI voice agent backends with TTS, STT, CRM, calendar, and API integrations I focus on writing reliable code, solving complex backend problems, and delivering systems that are easy to maintain and scale. If you need a developer who can turn an idea into a stable production system, I’d be happy to help.

ABOUT ME I have been working in the field of Big Data for more than 6 years during which I've gained hands-on experience with Spark, Hive, HDFS, YARN, Apache Livy, HBase, HiFi, Airflow, Docker, Kubernetes, MQTT, and more. Most often I use Scala, Python, and SQL programming languages, and I also have a basic knowledge of C/C++, Go, Java, Kotlin, and R. I have been using Azure, AWS, Digital Ocean, and Databricks cloud providers. I have practical experience in all phases of product implementation: initiation, research, requirement definition, design, establishment of milestones, development, integration, testing and further support. I have experience in firefighting with a highly loaded data processing system. I play an active and constructive role within the team. After some time, I've become a good connoisseur of business model and business field, which allows me to share knowledge among team members. INDUSTRY EXPERTISE Telecommunication, Mobile Games, User Acquisition, Retail, Logistics. OPEN SOURCE CONTRIBUTIONS Im trying to contribute to open source whenever i have some free time. GitHub: @ostronaut

As a Senior Data Engineer and Big Data Solutions Expert, I specialize in designing, developing, and optimizing modern data infrastructure and real-time pipelines. With a strong foundation in SQL, Python, Spark, Hadoop, and Kafka, I help businesses convert raw data into actionable, high-quality insights. Having delivered end-to-end data projects across ETL, big data processing, and visualization, I bring a blend of engineering precision and problem-solving mindset to every task. Whether you're a startup looking to build your first data pipeline or an enterprise scaling distributed data systems, I can help. Why Choose Me? - Proven Real-World Experience Successfully delivered freelance projects on platforms like Khamsat involving data cleaning, ETL pipelines, and data warehouse design — all with 5-star client satisfaction. - Big Data Engineering Mastery Trained and certified through Huawei Big Data Program and Digital Egypt Pioneers Initiative, with hands-on experience in Spark (RDDs, DataFrames), Hadoop (MapReduce, HDFS), Kafka, and Flink. - Cloud & Scalable Systems Skilled in building pipelines using PostgreSQL, MySQL, Power BI, SSIS, and deploying scalable architectures across large datasets. Key Highlights - Built and optimized large-scale data pipelines using PySpark, Hadoop Streaming, and SSIS - Designed ERDs and data warehouses for PostgreSQL-based solutions - Processed and visualized high-volume datasets for insight generation - Recognized team leader and project owner during Digital Egypt Pioneers internship - Worked with clients across different domains with diverse data needs - Fluent in Arabic (native) and English (fluent) Services I Offer: - End-to-End Data Pipeline Development (ETL & ELT) - Big Data Processing with PySpark, Hadoop, Hive - Kafka-based Streaming Architecture - Data Warehousing Design (ERD, SSIS, PostgreSQL, MySQL) - Dashboarding & Visualization (Power BI, Python) - Data Quality, Cleaning & Transformation - Workflow Optimization using Airflow & Linux scripting Why My Clients Trust Me Clients value my ability to translate business goals into efficient data systems. I maintain clear communication, fast delivery, and quality assurance, always aiming to exceed expectations. Let’s Collaborate! If you're looking for a dedicated and technically skilled Data Engineer to build, clean, or scale your data infrastructure, let’s connect. I’m passionate about delivering solutions that are both technically robust and business-aligned. Let me bring the power of big data and engineering precision to your project — and help your data work for you.

🌟 About Me: Hello! I’m a passionate Data Engineer with a knack for transforming complex data systems into streamlined, user-friendly operations. With a strong background in cloud migrations and data engineering, I’ve led projects for major companies like Carrefour and Enovos, achieving significant improvements in efficiency and scalability. 🚀 🔍 What I Do: I specialize in: • Cloud Migrations 🌩️: Transitioning legacy systems to AWS, Azure, and GCP with minimal downtime. • Data Engineering 🛠️: Building and optimizing data workflows, from ingestion to analytics. • Real-Time Data Solutions ⏱️: Implementing systems that offer immediate insights to drive business decisions. 💼 Key Achievements: • Led the cloud migration project at Carrefour, enhancing operational resilience and reducing costs. • Designed and executed a state-of-the-art real-time monitoring system for industrial compressors at AF Compressor, enhancing global operations. • Developed a comprehensive data platform at Enovos that aligns energy trading data with customer distribution, greatly improving strategic decision-making. 🎯 Why Choose Me? I bring a unique blend of technical expertise, strategic vision, and a collaborative spirit to every project. My goal is to not only meet your data needs but to exceed them, ensuring that your business is not just running, but thriving. Let’s connect and take your data systems to the next level! 👋

I am a seasoned distributed systems architect and strategic innovator with over 25 years of experience in engineering leadership. My career includes building foundational internet-scale systems and leading large teams through critical challenges while remaining hands-on. I successfully bootstrapped a retail trading platform to profitability in under 60 days. I specialize in AI and machine learning strategy, employing advanced models designed for high-noise environments. My expertise extends to distributed systems, enabling seamless scalability for billion-user databases and developing robust messaging infrastructure. As the Lead Partner at Unconventional Strategy Partners, I facilitate impactful outcomes by bridging the ecosystems of the US and India. If you need a strategic partner who can pivot quickly and drive high-impact results, let’s discuss how I can contribute to your project.

I specialize in building scalable data solutions as a Senior Data Consultant with 14 years of experience. My expertise includes data engineering, architecting big data platforms, and implementing robust DevOps practices. I am adept in technologies like Apache Kafka for streaming, and I focus on enhancing observability using ELK and Grafana. I work with clients to accelerate production deployment, streamline data flows, and significantly reduce technical debt while ensuring governance and security in demanding environments. If you need a seasoned professional to transform your data landscape and drive efficient operations, I am here to help. Let’s discuss how I can contribute to your project.

• Ten plus (15+) years of IT experience in the Analysis, Design, Development, Testing and Implementation of business application systems for Telecom, Banking, Financial and medical industrious. • Strong experience in Big Data hierarchic Hadoop, Spark and Storm. • Strong experience in the Analysis, design, development, testing and Implementation of Business Intelligence solutions. • Expertise in Data Warehouse/Data mart, ODS, OLTP, OLAP and data modeling implementations teamed with project scope, Analysis, requirements gathering, data modeling, Effort Estimation, ETL Design, development, System testing, Implementation and production support. • Expertise in working with relational databases such as Oracle, SQL Server, MS Access and Teradata. • Strong experience in ETL to extract data from various sources into Data Warehouses and Data Marts. • Extensive experience in writing UNIX shell scripts and automation of the ETL processes using UNIX shell scripting. • Hands-on experience across all stages of Software Development Life Cycle (SDLC) including business requirement analysis, data mapping, build, unit testing, systems integration and user acceptance testing.

I am a Microsoft Certified: Power BI Data Analyst looking for opportunities in the Data Analytics field. I have a good understanding of Big Data and Cloud technologies. Skillsets : Big Data ecosystem: HDFS, Hive, Map Reduce, Scoop, Spark, Azure Databricks. Cloud technologies: AWS and Azure. Dashboarding tools: PowerBI and Tableau. Data warehouse: Snowflake. Programming languages: Python.

1. Familiar with using Python, C#, Scala, VB, .NET, .NET Core, MVC, Socket, Grpc, LINQ, JavaScript, jQuery, Ajax, GraphQL, JSON, XML, HTML, CSS, VUE, React, Flutter, Bootstrap, Hadoop, Spark, Elasticsearch to develop computer programs; 2. Familiar with MSSQL, Oracle, MySQL, PostgreSQL, HBase, Redis, MongoDB databases; 3. Familiar with network equipment, network security products, CentOS, Windows and familiar with the construction and maintenance of large and medium-sized computer networks; 4. Skilled system analysis and project design; 5. Familiar with Enterprise Resource Planning (ERP),Customer Relationship Management (CRM),Distribution Resource Planning (DRP),Office Automation management (OA),Business Intelligence Management (BI),Enterprise Instant Messaging (EIM) management,Online Shopping Mall (OSM) Management And other corporate management concepts and processes; 6. With teamwork and communication skills, work carefully, strong