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.

Summary: Big Data & Analytics professional having software architecture and development experience with Big Data (Hadoop, Spark, Storm, Kafka, ElasticSearch, NoSQL DBs), Data Science (Machine Learning, NLP, R, Python, Java, Scala), and Cloud Computing technologies. Big Data & Data Science case studies: 1) Real-Time Data Analytics - Helped to build a real time data processing & analytics platform for fraud analytics to a financial organization from Middle East. Technologies used are Flume, Kafka, Storm, Spark, MLlib, SparkSQL, and Mongo DB. 2) Migration to Big Data Stack - Architected a plan for a major healthcare company to move from legacy platform to a big data stack based on the Hadoop ecosystem technologies. Implemented automated incremental data migration using Hadoop, Scoop, Hive, Scripting. 3) Analytics Application (Spark, R) – Developed a SparkR analytics application for a manufacturing client using R Shiny package, SparkR. 4) Consumer Analytics product – Architected and developed consumer analytics product for ecommerce, retail customers. It offered advanced analytics (predictive analytics, recommender systems) using Spark, R, Python, Scala, ML, HBase, ElasticSearch. Trainings: 1) Machine Learning (Stanford University - Coursera): Linear regression, Logistic regression, Neural networks, Support Vector Machines, Clustering, Anomaly detection, Recommender systems, Machine learning system design. 2) Data Science Specialization (Johns Hopkins University - Coursera): Getting and Cleaning data, Exploratory Data Analysis, Reproducible research, Statistical Inference, Regression Models, Practical Machine Learning. 3) R Programming (Johns Hopkins University - Coursera): Data types, sub-setting, control structures, functions, scoping rules, looping functions, debugging tools, R-profiler. 4) Big Data and Hadoop Master Class: Overview of Big Data, Hadoop Technology stack, MapReduce, HDFS, Hive, Pig, Common utilities, Hadoop distributions, Real world use cases and case studies. 5) ITIL v3 Certified: Service life cycle management, Service desk, Management of change, availability, finance, service level agreements. 6) Certified Scrum Master: Scrum principles and values, scrum team and roles, Scrum events, Scrum artifacts, done criteria.

I help founders and software teams turn messy technical/product situations into clear execution: architecture, delivery, technical risk, team coordination, and reliable SaaS/backend/AI platforms. I’m not a “just give me tickets” developer. My strongest work is when a product needs someone who can understand the business workflow, challenge weak assumptions, design the architecture, coordinate developers, and still go deep enough technically to build or review the critical parts. Recent work includes: - Leading backend/platform work for an industrial AI/vision SaaS product using Java/Spring Boot, AWS event-driven services, Python/FastAPI, Claude/Anthropic, MCP tool integrations, secure auth, streaming UX, and production observability. - Building a multi-tenant RAG/chatbot SaaS on Google Cloud with FastAPI, NestJS, Next.js, Firebase Auth, Cloud Run, PostgreSQL, Cloud Storage, Vertex AI embeddings/search, strict tenant isolation, and SSE streaming. - Working in a fractional CTO-style consulting role: codebase audits, technical risk assessment, engineering standards, delivery process, roadmap/scoping, vendor/team coordination, and executive-ready recommendations. Typical areas where I help: - SaaS architecture and technical leadership - AI/RAG/LLM features that need to work in production, not just demos - Backend/cloud platforms on AWS or GCP - Multi-tenant systems, auth, data isolation, and workflow design - Turning vague requirements into clear technical execution - Reviewing existing codebases and identifying what to fix first - Leading or mentoring developers while keeping delivery moving - Communicating technical risks clearly to founders and non-technical stakeholders Core stack: Java/Spring Boot, Python/FastAPI, TypeScript/Node/NestJS, React/Next.js, AWS, GCP, PostgreSQL, Kubernetes, Terraform, event-driven systems, Claude/Anthropic, MCP, RAG, Vertex AI. Languages: fluent English, German, and Spanish. I’m open to focused part-time advisory work as well as larger long-term engagements when the project is serious, the scope is clear, and the collaboration is built around outcomes rather than busywork.

⚡ 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐀𝐈 & 𝐌𝐋 – 𝐅𝐫𝐨𝐦 𝐑𝐚𝐰 𝐃𝐚𝐭𝐚 𝐭𝐨 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 I’m a 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 & 𝐀𝐈/𝐌𝐋 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 (𝟔+ 𝐲𝐞𝐚𝐫𝐬) delivering 𝐬𝐞𝐜𝐮𝐫𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐄𝐓𝐋 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐦𝐨𝐝𝐞𝐫𝐧 𝐝𝐚𝐭𝐚 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬, and 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 alongside 𝐀𝐈/𝐋𝐋𝐌 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 for enterprises. My work has cut ETL runtimes by 𝟐+ 𝐡𝐫𝐬, reduced cloud costs by 30–50%, and enabled real-time decision-making. ✅ 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐭𝐢𝐞𝐬 • 𝐄𝐓𝐋 & 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 – Batch & streaming pipelines with Azure ADF, Databricks, Spark, AWS Glue, GCP Dataflow, Kafka • 𝐃𝐚𝐭𝐚 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 – Lakehouse, warehouse, real-time systems, CI/CD-enabled delivery • 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 & 𝐂𝐨𝐬𝐭 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 – Spark tuning, autoscaling configs, faster BI queries • 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 – Unity Catalog, RBAC, lineage, encryption, audit logging • 𝐁𝐈 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 – Power BI (DAX KPIs, drill-downs, exec dashboards), Databricks Lakeview ✅ 𝐀𝐈 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐭𝐢𝐞𝐬 • 𝐋𝐋𝐌𝐬 & 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 – Custom GPTs, RAG chatbots, AI assistants, automated content workflows • 𝐍𝐋𝐏 & 𝐓𝐞𝐱𝐭 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 – Sentiment analysis, NER, classification, AI-driven search • 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 – Forecasting, risk modeling, customer behavior insights • 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 – U-Net, YOLO, Mask R-CNN, satellite imagery analysis • 𝐌𝐋𝐎𝐩𝐬 & 𝐂𝐥𝐨𝐮𝐝 𝐀𝐈 – Azure ML, Vertex AI, SageMaker, Databricks ML, MLflow, Docker, K8s 📌 𝐒𝐞𝐥𝐞𝐜𝐭 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 • Healthcare: Real-time Azure + Databricks ETL with Power BI dashboards → automated pipeline monitoring & data quality checks • Disaster Response: U-Net/YOLO flood detection (95%+) & building damage analysis from satellite data • Enterprise AI: Custom GPT chatbot (RAG) for lead scoring, summarization & decision support • Retail & Pharma: Forecasting models → optimized inventory & boosted sales with live dashboards 🛠 𝐓𝐞𝐜𝐡 𝐓𝐨𝐨𝐥𝐛𝐨𝐱 • 𝐋𝐚𝐧𝐠𝐬: Python (PySpark, Pandas, NumPy), SQL, Scala, R • 𝐄𝐓𝐋 & 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: ADF, Synapse, Databricks, Glue, EMR, Kinesis, Dataflow, Dataproc, Pub/Sub, Kafka, Fabric • 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 & 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞: ADLS Gen2, OneLake, Synapse SQL, Cosmos DB, S3, Redshift, BigQuery, Hive, HBase • 𝐕𝐢𝐬𝐮𝐚𝐥𝐬: Power BI (DAX modeling), Databricks Lakeview, Plotly • 𝐀𝐈/𝐌𝐋: PyTorch, TensorFlow, Hugging Face, LangChain, AutoML • 𝐌𝐋𝐎𝐩𝐬 & 𝐃𝐞𝐯𝐎𝐩𝐬: MLflow, DVC, GitHub Actions, Docker, Kubernetes, FastAPI, Azure DevOps 🏅 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 Azure: DP-203, DP-700, DP-600, DP-900, AI-102 • AWS: Data Engineer Associate • GCP: Professional Data & ML Engineer • Databricks Architect 📩 Let’s connect to design 𝐬𝐞𝐜𝐮𝐫𝐞 𝐄𝐓𝐋 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, deliver 𝐀𝐈/𝐋𝐋𝐌 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, and unlock 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬-𝐫𝐞𝐚𝐝𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬—all in one certified, end-to-end engagement.

I'm a seasoned Data Engineer specializing in building robust, scalable data pipelines across AWS and Azure cloud environments. With over 5 years of experience, I excel at designing end-to-end data solutions that transform raw information into valuable business insights. My expertise includes: Creating high-performance ETL workflows using AWS Glue, Step Functions, and Azure Data Factory Optimizing Spark applications to reduce processing time and resource costs. My technical expertise includes: Cloud Platforms: AWS Glue, Step Functions, Lambda, S3, Secret Manager, and Azure Data Factory, Databricks, Data Lake Storage Gen2 Big Data Technologies: Apache Spark, Hadoop, Sqoop, Hive, HBase Programming Languages: Python, Scala, PySpark, Spark SQL Databases: MySQL, MS SQL Server, PostgreSQL Monitoring & Tools: Jira, Splunk, Tableau

I'm Big data engineer with 9 years experience on data projects. My main skills are : - Programming language : Scala, java, python, c++. -HDP/CDP: spark,hive,hadoop,hbase,soir,elastic,oozie.AirFlow,search,pig,kerberos,ranger,LDAP,NIFI,Talend,kafka ... -Cloud : Aws, Google cloud -CI/CD : gitJenkins,kuberneetes,docker,CTM During my experience, i have faced many problems related to job optimisation, data quality, pipeline avaibality ... I will be glad to help with this experience with a 30 hours per week avaibality.

Profile Summary: Results-driven QA Test Lead with 12+ years of experience delivering high-quality software for global telecom clients across Europe and Asia. I specialize in Manual Testing, Test Management, Test Planning, Functional Testing, Regression Testing, End-to-End Testing, UAT, Defect Management, SQL Validation, API Testing, and Telecom BSS/OSS systems. Throughout my career, I have led QA teams, managed complex release cycles, coordinated with cross-functional stakeholders, and successfully delivered large-scale transformation and migration projects for international telecom operators. I have hands-on experience with Agile methodologies, Jira, ALM, SQL, Unix/Linux, Postman, and Selenium WebDriver, and I am continuously expanding my expertise in Java automation and AI-assisted testing. What I can help you with: - Manual Testing & Test Execution - Test Planning & Test Strategy - Functional, Regression & Integration Testing - API Testing (Postman) - SQL Database Validation - Defect Reporting & Root Cause Analysis - Telecom BSS/OSS Testing - Telecom Billing/Rating/Journaling. - UAT Coordination - Release Management Support - QA Documentation & Test Cases I believe in clear communication, timely delivery, and providing thorough testing that helps clients release reliable software with confidence. Whether you need an experienced QA engineer for a short-term project or a Test Lead to manage end-to-end quality assurance, I am committed to delivering excellent results. Let's work together to build software that users can trust.

Expert with a decade of experience in designing and developing ERP/SAAS applications from the ground up. I would like to understand your complete Project Scope/Requirements to successfully implement the logic and form a long-term professional relationship. What will you get after hiring me for your project? - I will design your solutions from scratch as per your unique needs and goals. - Focused on Attention to detail, clean, well-structured code, and user-friendly experience. - Your app will be built to handle growth and change for any kind of future requirements. - I will work closely with you and your team collaboratively throughout the whole development process to ensure your satisfaction. Technical Expertise: Backend- Java, Java EE, Spring (MVC, Boot, Security, Data, Batch), Hibernate, Play, Tomcat, Jetty, Hbase, ELK, Apache Thrift/Kafka/Solr, Dropwizard, ElasticSearch, Jboss, GWT. Frontend - Angular JS, React JS, Node JS, JavaScript. Cloud and DevOps - Kubernetes, Cassandra, Redis, MongoDB, MySQL, SQL, AWS (EC2, S3, Lambda, etc.). Let's come together and make this relationship successful by delivering the topmost quality.

I have experience with Data Scraping, RDBMS, NoSQL DB, building ETL pipeline, Big Data - Data Scraping with Python with Scrapy, Selenium, Python Request. - Expert SQL with Oracle, MySql. - Expert AWS in Data Engineering field - Experience with NoSQL: ElasticSearch, HBase, Cassandra. - Experience with Minio, AWS, Kafka, Terraform, Redis - Expert with Spark, HDFS Looking for long term contract

I specialize in quality assurance engineering with a robust 15 years of experience in designing and evolving automation test frameworks. My expertise lies in utilizing Selenium with Java and Python, seamlessly integrating these into CI/CD pipelines for continuous quality validation. I leverage AI-assisted testing to enhance workflows, generate intelligent test cases, and optimize automation processes. My hands-on experience with GenAI tools accelerates QA efforts, ensuring comprehensive test coverage while minimizing manual intervention. I excel in simulating real-world user behaviors and edge cases to identify risks early in the development lifecycle. Having thrived in Agile environments, I collaborate closely with engineering teams to embed quality throughout the Software Development Life Cycle. If you're looking for a QA professional who can elevate your project's quality and efficiency, let's connect.