I'm a data engineer with extensive experience in big data solution. I have experience in data engineering using some tools like HDFS, HBase, Apache Hive, Apache Nifi, Apache Airflow, StreamSets, etc. I am enthusiast to develop my skill and learn something new. My experiences range of projects including basic data architecture, data pipeline development, connectors & usage, pipeline execution, and general platform operations.

𝗔𝗿𝗲 𝘆𝗼𝘂 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮 𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗹𝗲 𝘁𝗲𝗰𝗵 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝘄𝗶𝘁𝗵 𝗼𝘃𝗲𝗿 12+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝘄𝗲𝗯, 𝗺𝗼𝗯𝗶𝗹𝗲, 𝗮𝗻𝗱 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀? I'm Ahmad Syed, a highly skilled developer specializing in: 1- Mobile App Development (𝗙𝗹𝘂𝘁𝘁𝗲𝗿 / 𝗗𝗮𝗿𝘁) 2- Full-Stack Web Development (𝐑𝐞𝐚𝐜𝐭.𝐣𝐬 / 𝐍𝐨𝐝𝐞.𝐣𝐬 / 𝐄𝐱𝐩𝐫𝐞𝐬𝐬) 3- AI & Machine Learning (𝐋𝐋𝐌𝐬, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞) I work with clients ranging from startups to Fortune 𝟭𝟬𝟬 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀, delivering clean code, scalable architecture, and seamless digital experiences , all tailored to business goals. 💼 Highlights 🏆 50+ Apps Delivered 📱 Expert in Flutter & Cross-Platform Mobile Development 🌐 Proficient in Modern Web Stacks: 𝗠𝗘𝗥𝗡, REST APIs, UI/UX 🤖 Deep AI/ML Knowledge: 𝗟𝗟𝗠𝘀, 𝗚𝗲𝗻𝗔𝗜, Data Modeling 💡 Startup-Savvy + Scalable Enterprise Systems ✅ What I Offer Custom Mobile Apps with Flutter (iOS & Android) - Web Apps with React.js (𝗳𝗿𝗼𝗻𝘁𝗲𝗻𝗱) and 𝗡𝗼𝗱𝗲.𝗷𝘀/𝗘𝘅𝗽𝗿𝗲𝘀𝘀 (𝗯𝗮𝗰𝗸𝗲𝗻𝗱) - AI Integration using 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, or custom ML models - API Development & Integration - Clean Architecture using Agile, SDLC, and CI/CD best practices 📣 What Clients Say: ⭐️⭐️⭐️⭐️⭐️ "Ahmad's Flutter expertise was crucial for our cross-platform app. He delivered a polished product on time and within budget, with excellent communication." — Mandy Miller, Startup CEO ⭐️⭐️⭐️⭐️⭐️ "Ahmad’s full-stack skills with Node.js and React.js allowed us to build a complex web app with seamless mobile integration. His problem-solving was invaluable." — David Lee, Enterprise PM 🛠️ Skills & Technologies Languages & Frameworks: - 𝗗𝗮𝗿𝘁, 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁, 𝗧𝘆𝗽𝗲𝗦𝗰𝗿𝗶𝗽𝘁, 𝗣𝘆𝘁𝗵𝗼𝗻 - 𝗙𝗹𝘂𝘁𝘁𝗲𝗿, 𝗥𝗲𝗮𝗰𝘁.𝗷𝘀, 𝗡𝗼𝗱𝗲.𝗷𝘀, 𝗘𝘅𝗽𝗿𝗲𝘀𝘀.𝗷𝘀 - 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜, 𝗟𝗟𝗠𝘀, 𝗡𝗟𝗣 - 𝗧𝗲𝗻𝘀𝗼𝗿𝗙𝗹𝗼𝘄, 𝗣𝘆𝗧𝗼𝗿𝗰𝗵, 𝗢𝗽𝗲𝗻𝗔𝗜 𝗔𝗣𝗜𝘀 Development Tools: - Git, Bitbucket, Postman, Firebase, MongoDB - Agile, Scrum, Jira, Trello 💬 Why Work With Me? ✅ Nearly a decade of hands-on software experience ✅ Proven record of delivering high-quality, scalable apps ✅ Strong communicator and proactive problem solver ✅ Focused on business value and end-user experience ✅ Trusted by clients worldwide 📅 𝙇𝙚𝙩’𝙨 𝘾𝙤𝙣𝙣𝙚𝙘𝙩! Ready to build your next web, mobile, or AI-powered product? 📞 Schedule a free consultation today , let's bring your vision to life!

✓ Technology executive specializing in architecting and implementing highly scalable solutions to drive brand awareness, increase revenues, optimize productivity and improve margins. ✓ Overseeing the data, security, maintenance, and network for a company. ✓ Implementing the businesses’ technical strategy and managing the overall technology roadmap of the business. ✓ involved with talent acquisition and its onboarding, training, and management of Project Manager, product Manager, Developers, Devops, Designers. ✓ Setting the technical strategy for the company to enable it to achieve its goals. ✓ Seeking out the current and future technology that will drive the company’s success. ✓ Focus on strategic alignment of technology goals to organizational vision. ✓ Passionately committed to technology team development, empowering people to accomplish their goals and coaching them realize their individual potential. ✓ Proven track-record of success in technology product development, cloud infrastructure,Building Data Platforms, ETL Pipelines, Streaming Pipelines ,e-commerce, CRM ,mobile strategy, and social media integration. I am working from last 8 years with Apache Spark, Lucene, ElasticSeach/Kibana, Amazon EC2.RDBM's(SQL, MySQL, Aurora, PSQL, Oracle), NoSQL engines (Hadoop/HBase, Cassandra,DynamoDB, MongoDB),GraphDB(Neo4j, Neptune) in-memory databases (Hazelcast, GridGain), Apache Spark/MLib, Weka, Kafka, clustered file systems, general-purpose computing on GPU. Deploying the ML DL Models on GPU Instances(Nvidia). Have a great experience in query optimization, application profiling, and troubleshooting. My area of expertise includes: - Python script - Jira,Trello,Azure DevOps - Web scraping - AWS(Redshift, Glue, ECS, EC2, EMR, Kinesis, S3, RDS, VPC, IAM,DMS) - GCP(Big Query, DataFlow, SnowFlow) - Microsoft Azure - Hadoop Big Data - Elasticsearch/Kibana/Logtash(ELK) - Hadoop setup on standalone, Cloudera, and HortonWorks. - SQL like MySQL PostgreSQL - NoSql Database like Hbase and MongoDB - Machine learning - Deep Learning - Spark with Mlib,GraphX - Sphinx - Memcache - MS BI/Tableau/GDS

Over 10 years of experience in cloud computing and O&M, specializing in architecture design and optimization for complex systems. Possess full-stack technical capabilities spanning infrastructure to AI model engineering. Successfully delivered implementations across multiple industries including Internet of Vehicles, Finance and Retail. Adept at rapid learning of emerging technologies and translating technical solutions into tangible business value. ## Core Competencies ### 1. Cloud Computing & Virtualization - 10 years of hands-on full-stack experience with Huawei Public Cloud; 1 year of pre-sales support experience on AWS - Proficient in mainstream virtualization technologies including Hyper-V, ESXi and KVM - Reduced cloud resource costs by over 15% and lifted system availability to 99.95% via cloud resource optimization - Served as Chief Technical Engineer, leading infrastructure architecture design and core business code development for systems supporting millions of concurrent users ### 2. DevOps & Automation - Built end-to-end CI/CD pipelines based on GitLab, Jenkins, Harbor and Kubernetes - Developed more than 200 automation scripts with Python, boosting server deployment and configuration management efficiency by 50% - Experienced in automated O&M system construction; built monitoring platforms with Prometheus + Grafana - Improved application deployment efficiency by 40% and shortened incident response time to less than 5 minutes ### 3. Data & AI Technology Stack - **Databases**: Practical experience with MySQL, MongoDB, Redis; maintained enterprise systems including Greenplum, Oracle and DB2 - **Big Data Platform**: Skilled in development and performance tuning for Hadoop, HDFS, HBase, Flink and Kafka - **AI Engineering**: Hands-on experience in LLM fine-tuning (LoRA / QLoRA), text chunking algorithms, and multi-modal frameworks built on RAG & ReAct - **Real-time Decision Engine**: Achieved end-to-end latency <200ms for financial scenarios and <500ms for dynamic decision-making in retail scenarios - Proficient in AI workflow tools (Dify, Coze, n8n); familiar with MCP principles and intelligent application development

I have 6 years of working experience in the software industry, and I am confident most as a Backend Developer and Data Engineer. For now, I want to spend more time on the freelance path, to help others solve their problem happily. As a backend developer: - I build microservices using Java and Go - I design a Database schema for features I work on. - I write REST API and work with the frontend team for integration. As a data engineer: - I do ETL tasks. - I write batch jobs and real-time jobs for streaming over 50 GB of data per day. - I store processing data into HBase, MySQL. - I visualize data to make it meaningful to others. Besides, I also spend time playing with frontend stuff such as NextJS, VueJS, CSS. Availability: My time zone is GMT+7, but I am flexible on working time, even at midnight. If you want to work with me for more than 30 hours, just say it, I will consider working more. Let’s work together to turn your idea into reality!

❒ 10+ years of experience, on AWS and GCP Cloud. Also, Hadoop distributions like Cloudera and Hortonworks and Bigdata Technologies Confluent Kafka, ELK ❒ Extensive experience in setting up and building Kubernetes clusters with Installation, Configuration, Optimization, Securing, Scale-up, and Management from Scratch ❒ Build a CI/CD Pipeline using Git and validate the Build and promote and deploy the GCP and AWS resources. ❒ Implemented Amazon Web Services and its products which includes Amazon EC2, Elastic Load, EKS, ECR, VPC, S3 ❒ Implemented GCP and its products which includes VM, EKS, GKE, GCR, VPC, etc ❒ Balancing, Auto Scaling, Amazon S3, Amazon VPC, Amazon RDS, Amazon EKS, Amazon ECS, Amazon ❒ Experience with Cloudera Hadoop Clusters with CDH 5.16 ❒ Experience with Confluent Kafka Clusters ❒ Extensively worked with Version Control Systems GIT ❒ Excellent experience in analyzing systems, benchmarking, identifying the root cause of performance ❒ challenge and providing solutions for the same ❒ Experienced in creating various dashboards, metrics, alarms, and notifications for servers using AWS ❒ Cloud Watch and Prometheus, Grafana ❒ Experience in Docker, Jenkins, storage administration, web Server administration, queue administration, ❒ Managing version control system using GitLab, Github, BitBucket, ❒ Experience in GCP services (ComputeEngine, AppEngine, ContainerEngine, Cloud DataStore, Pub/Sub, Dataflow, Deployment Manager) ❒ Hands on Python scripting for task automations. Key Skills and Knowledge Operating Systems: Linux, Windows. Containerization: Docker and Kubernetes Hadoop Distributions: Apache Hadoop, Cloudera Distribution Hadoop (CDH), Hortonworks Data Platform (HDP) Components: HDFS, MapReduce, Yarn, Kubernetes, Docker, Spark, KAFKA, Hive, Pig, HBase, Oozie, ZooKeeper, Flume, Sqoop, Confluent Kafka Management Tool: Cloudera Manager, Apache Ambari, Confluent Control Center Ticketing Tool: Service Now, Jira Cloud Platforms: AWS, Azure, GCP DevOps Tools: Jenkins, Udeploy, Git, DevOps Tools: Python, Shell Scripting.Terrafom

Data Engineer with 7+ years of experience in building end-to-end data pipelines, enterprise applications, and real-time data solutions across Manufacturing, Logistics, and Clinical domains. I have worked extensively on Extraction, Transformation, and Loading (ETL) of data from diverse sources using Big Data technologies, and have been responsible for writing backend APIs for enterprise-level applications. Currently, I focus on building high-performance, real-time data pipelines and analytics dashboards for engine manufacturing data using Spark Scala, Databricks, and Azure. My expertise includes SQL query optimization, dashboard performance tuning, and delivering scalable solutions for data-driven insights. ✅ Programming: Python (Pandas, NumPy), SQL, Java, Scala ✅ Frameworks: Flask, Django, Spring Boot, Plotly Dash
 ✅ Big Data Tools: Hadoop, Spark, Hive, HBase, Phoenix, Airflow, Databricks
 ✅ Cloud: Microsoft Azure (ADF, Databricks, SQL Endpoints), AWS
 ✅ Databases: MySQL, PostgreSQL, SQL Server, MongoDB, ElasticSearch
 ✅ Monitoring & Analytics: ELK, EFK, Grafana, AWS CloudWatch ✅ DevOps: Docker, Jenkins, Kubernetes

Hey! I am a CEO, Full Stack Developer, and React Developer with over 12 years of commercial experience. My journey began with deep back-end engineering, but over time it naturally evolved into full-cycle product creation - from architecture planning to deployment and long-term support. The common thread across every project is the perspective of a React Developer who treats every interface as a product decision, not just a visual layer. What I do My work as a React Developer covers the full stack - from crafting fast, clean React interfaces to designing AWS infrastructure and API orchestration behind the scenes. With 5,800+ hours logged on Upwork and 100+ projects delivered, I take full ownership of every product I touch. That is what the role of a React Developer means to me: accountability for the entire user-facing layer, not just the components. Thinking like a React Developer means making deliberate decisions at every layer - from component architecture to state management and API design. My technical stack React Developer experience means mastering the entire frontend layer. I build with React.js, Next.js, TypeScript, Tailwind CSS, Astro, Angular, and Vue 3. For mobile, my background as a React Native Developer means I apply the same component-driven discipline across platforms — working with React Native (Expo), Flutter, Swift, and Kotlin. Every stack decision is guided by performance, maintainability, and long-term scalability - values I bring to every project as a React Developer. On the back end, I match the same depth: Node.js, Python (FastAPI, Django), Ruby on Rails, Go, and Java. My cloud infrastructure expertise spans AWS Lambda, S3, and CDK/SST - the kind of foundation a serious React Developer build demands. Bridging frontend precision with back-end reliability is what separates a strong React Developer from someone who only knows one side of the stack. That balance is something every experienced React Developer has to earn and I have. What I build Having worked as a React Developer across Fintech, HealthTech (including HIPAA-compliant data handling, audit logging, and role-based access control), SaaS, AI and Automation, Real Estate, and Event Management, I understand what it takes to build products that scale under real pressure. The range of what I have delivered as a React Developer includes AI-driven MVPs, C2C marketplaces, PropTech platforms, and complex enterprise systems with high concurrency requirements. Each engagement starts with the business problem, not the ticket. I think system-wide, design for scale, and stay involved from the first architectural decision to final deployment. Clean logic, performance optimization, and secure data handling are the standards every React Developer should hold and I do throughout every build. React Developer instincts, built over 12 years, mean I can spot performance bottlenecks and architecture risks before they become expensive problems. Why clients hire me Clients return to me as their React Developer because I bring more than technical skill - I bring the mindset of a CEO who has built and shipped real products. Hiring a React Developer with that perspective means you get someone who understands what it costs when a system breaks, what it takes to scale under pressure, and what users actually need from a frontend. My React Developer background spans over a decade of production systems built for real users at real scale, not side projects. Finding the right React Developer for a complex product matters. I have helped businesses modernize legacy systems, migrate to AWS, and launch products from zero to production. Whether the challenge is a greenfield SaaS build or a rescue engagement, I bring structure, reliability, and full-stack depth as a React Developer. That combination is what defines this React Developer practice and the reason clients come back. The strongest React Developer is not just someone who writes clean code - it is someone who stays involved until the product ships and performs. If you are looking for a React Developer who thinks beyond the ticket, I would be glad to connect. Let's build something great.

I help businesses design, build, and optimize scalable cloud data platforms using Google Cloud Platform (GCP) and Azure Databricks. With 8+ years of experience in Data Engineering Cloud and Big Data technologies, I specialize in building high-performance ETL/ELT pipelines, data lakes, and enterprise-scale data solutions. Core Expertise Google Cloud Platform (GCP): BigQuery, Cloud Storage (GCS), Cloud Composer (Airflow), Dataproc, IAM, Cloud Monitoring. Databricks: GCP Databricks, Azure Databricks, Delta Lake, Apache Spark (PySpark & Scala), performance tuning, batch and real-time data processing. Big Data Technologies: Hadoop, HDFS, Hive, Kafka, Sqoop, Oozie, HBase. Data Engineering: ETL/ELT pipeline development, workflow orchestration, data migration, data quality, and automation. Programming: SQL, PySpark, Scala, Core Java. DevOps & Collaboration: Git, CI/CD, Agile/Scrum, production support, troubleshooting, and workflow optimization. What I Can Help You With ✔ Build scalable ETL/ELT pipelines on GCP ✔ Develop data solutions using GCP Databricks and Azure Databricks ✔ Design and optimize BigQuery data warehouses ✔ Automate workflows using Cloud Composer (Airflow) ✔ Optimize Spark jobs for performance and cost efficiency ✔ Migrate and modernize Big Data workloads to the cloud ✔ Troubleshoot and support enterprise production data pipelines

I am 🏆 Certified Databricks (Associate ,Professional & GenAI) and 🏆 Microsoft Fabric & Azure Data Engineer with 8+ years of experience in ETL, leveraging Microsoft Azure technologies, Databricks, BigQuery, Microsoft Fabric, GCP, PySpark, SQL, MS SQL Server, Snowflake, and MySQL to deliver top-tier data solutions. My expertise spans a wide range of technologies and tools, ensuring seamless data movement, data scraping and transformation. I am skilled in orchestrating complex data workflows, automating pipelines, and streamlining ETL processes using AWS Glue, AWS EMR, Azure Data Factory, Databricks,Apache Airflow, SSIS Pentaho, Talend, Informatica etc. I excel at integrating with top-tier data warehouse platforms such as Snowflake, Redshift, Azure Synapse Analytics, and BigQuery, building robust ETL pipelines while managing data lakes on ADLS, S3, Databricks Lakehouse Platform and GCS. 🏆 Key Areas of Expertise: 📌 Development Skills: Databricks, Unity Catalog, Lakeflow, Kafka, Airflow, Airbyte, MS-SQL Server, Power BI, Tableau, Qlik, Apache Superset, Azure Data Factory, MySQL, ETL, Job Scheduling and Automation, Query Optimization etc. Performance Tuning 📌 Programming Languages: Python, SQL, PySpark 📌 Databases: SQL Server, PostgreSQL, MySQL, DynamoDB, Amazon RDS 📌 ETL Tools: AWS Glue, AWS EMR, Azure Data Factory, SSIS, Apache Airflow, Pentaho, Talend, Informatica. 📌 Data Scraping: Expertise in Python, Selenium, Playwright, Puppeteer and BeautifulSoup. 📌 Data Warehouse Platforms: Azure Synapse Analytics, Redshift, BigQuery, Snowflake 📌 Data Storage Services: Amazon S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Databricks File System (DBFS) 📌 Big Data Technologies: Hadoop, Hive, HBase 📌 Workflow Orchestration: Apache Airflow, Azure Data Factory 📌 Data Lake Management: Delta Tables, Delta Live Tables, Data Flows, Jobs 📌 Visualization Tools: Power BI, Tableau, Superset 📌 IDE’s: Databricks, SQL Server Management Studio, DBeaver, Snowflake, Azure Data Studio 📌 Cloud Platforms: Azure, GCP, AWS, Snowflake. Our comprehensive skill set, and hands-on experience make us adept at tackling any data engineering challenge thrown our way.