🖥️ Professional Data Scientist and Data Analyst with 5+ years of experience 🧠 Expert in building high-accuracy machine learning models 🔢 Skilled in delivering reliable, data-driven solutions Check out what I offer: 🚀 Machine Learning & Prediction Systems - Analyze and train machine learning models, including binary classification, linear regression, and multi-class classification - Apply advanced machine learning techniques like XGBoost, Decision Trees, and Support Vector Machines to create accurate predictions 🚀 Data Analysis & Modelling - Perform comprehensive Exploratory Data Analysis (EDA) to uncover patterns, detect outliers, and reconcile the data - Generate insightful reports from large datasets using data visualization tools and statistical analysis 🚀 Data Processing & Transformation - Data integration, validation, and transformation to ensure quality and consistency - Expertise in handling missing data, data deduplication, and outlier detection - Proficient in feature engineering, preparing datasets for robust machine learning applications 🚀 Automation & Workflow Optimization - Develop Python-based solutions to automate workflows and enhance efficiency - Provide evaluation and data analysis on Excel, leveraging VBA and advanced formulas Tools & Skills 🔹 Expertise in AI/Machine Learning: Linear Regression, Logistic Regression, XGBoost, Decision Tree, Random Forest, Support Vector Machine, PCA, K-mean 🔹 Programming Environment/Tools: Python (numpy, panda, matplotlib, scikitlearn), SQL, VBA, Excel 🔹 Specialisation: Data Scientist, Data Analyst, Machine Learning, IT Developer, Python, SQL, Excel 🔹 Communication: Strong skills to present findings effectively to stakeholders If you're looking for an expert in Python and SQL, familiar with advanced machine learning and data visualization tools, who can analyze large datasets and deliver actionable insights, let’s connect!

I'm working as a Data Engineer with over 15 years of experience as a DBA, Database/BI Developer, Data Engineer, and Data Architect, my expertise includes relational databases like SQL Server, MySQL, PostgreSQL, Netezza, and SQLDW as well as big data solutions like Hadoop, Apache Spark, and other related solutions like HBase, Apache Pig, Impala, Hive, MongoDB, Google BigQuery, Airflow, Amazon EMR, Azure Synapse Analytics, Databricks, Cloudera Data Platform and so on. I have certifications in Azure Data Engineer, Google Cloud Data Engineer, AWS Cloud Practitioner, Microsoft SQL Server, MySQL, and others. I've been working for a while with on-premises environments, but lately, I've been working more with cloud environments on Azure, AWS, and GCP. I have a great experience in Linux environments and programming languages such as Scala, Python, R, and SQL. Also, I have strong experience in ETL/ELT processes, Data Modelling, and Data Ops.

⚡ 𝗠𝗼𝘀𝘁 𝗔𝗜 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗳𝗮𝗶𝗹 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝘁𝗵𝗲𝘆 𝗮𝗿𝗲 𝗯𝘂𝗶𝗹𝘁 𝗮𝘀 𝘀𝗶𝗺𝗽𝗹𝗲 𝗟𝗟𝗠 𝗱𝗲𝗺𝗼𝘀 𝗿𝗮𝘁𝗵𝗲𝗿 𝘁𝗵𝗮𝗻 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. Real AI products require much more than an API call to an LLM. They need proper backend architecture, data pipelines, integrations, validation, monitoring, and scalable infrastructure. I help startups, SaaS companies, and growing businesses transform AI ideas and prototypes into production-ready applications by integrating AI capabilities into existing products, backend systems, and business workflows. With 13+ years of software engineering experience, I combine backend engineering expertise with modern AI technologies to build reliable AI features using: 𝗣𝘆𝘁𝗵𝗼𝗻 • 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 • 𝗢𝗽𝗲𝗻𝗔𝗜 𝗔𝗣𝗜 • 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 𝗖𝗹𝗮𝘂𝗱𝗲 • 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 • 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 • 𝗥𝗔𝗚 • 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 • 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗜 𝘁𝗮𝗸𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲: 📌 Business Requirements 🏗️ AI Architecture 🔧 Backend Integration 🧪 Testing 🚀 Deployment 📊 Monitoring 𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲 𝗔𝗜 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗶𝗻𝘁𝗼 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱 𝗻𝗲𝘄 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 🔹 OpenAI API Integration 🔹 Anthropic Claude API Integration 🔹 LLM-Powered Applications 🔹 AI Assistants & Chatbots 🔹 AI Agents & Automation Workflows 🔹 Function Calling & Tool Integrations 🔹 Structured Outputs with Pydantic 🔹 AI-Powered Search 🔹 AI Content Generation 🔹 LLM Evaluation Workflows 🔹 Local LLM Deployment with Ollama & vLLM 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝗿𝗲𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗺𝗮𝗻𝘂𝗮𝗹 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀: 📄 Document Processing Automation 🔍 Data Extraction Pipelines 🏷️ Classification Workflows 🤖 Internal AI Assistants (Harness Engineering) 💬 Customer Support Automation ⚙️ Business Workflow Automation 📊 AI-Powered Reporting Systems (Harness Engineering) 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝗟𝗟𝗠𝘀 𝘄𝗶𝘁𝗵 𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗱𝗮𝘁𝗮: 📚 Enterprise RAG Pipelines 📄 Document Intelligence Systems "Harness Engineering" 📑 PDF & File Processing 🧠 Knowledge Base App 🔎 Semantic Search ⚡ Hybrid Search (BM25 + Embeddings) 🗄️ Vector Search Optimization 🔗 Embedding Pipelines 📈 Retrieval Evaluation 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔗 LangChain 🕸️ LangGraph 📚 LlamaIndex 🗄️ Qdrant 🌲 Pinecone 🐘 PGVector 💾 Chroma 𝗜 𝗯𝘂𝗶𝗹𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗦𝗮𝗮𝗦 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀: 🐍 Python SaaS MVP Development ⚙️ Python Backend Development 🚀 FastAPI Development 🌐 Django Development 🧩 Flask Development 🔌 REST API Development 🏗️ Database Architecture 🐘 PostgreSQL Database Design ⚡ Redis Integration 🔐 Authentication Systems 👥 Role-Based Access Control 🏢 Multi-Tenant SaaS Architecture 💳 Stripe Payment Integration 📊 Admin Dashboards 🔄 Background Processing ☁️ Cloud Deployment 𝗜 𝗯𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗹𝗮𝘆𝗲𝗿 𝗮𝗿𝗼𝘂𝗻𝗱 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀: 🏗️ Reliable Backend Architecture 🔌 API Design ✅ Data Validation 🛡️ Error Handling 📊 Logging & Monitoring 🧪 Automated Testing 📈 Scalable Infrastructure 🔐 Secure Integrations 🏆 13+ Years Building Production Software Systems & Backend Apps 📉 Reduced Document Processing Time by Up to 90% Through AI-Powered Extraction, Validation, and Automation Pipelines 🧠 Built RAG Systems Supporting 200+ Users for Business Knowledge Retrieval 🔗 Integrated LLM Capabilities Into Existing SaaS Applications and Backend Platforms 🏗️ Designed Scalable APIs, Asynchronous Processing Systems, and Cloud-Based Infrastructure 𝗜 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗔𝗜 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝘁𝗵𝗿𝗼𝘂𝗴𝗵: ⚡ Token Optimization 🎯 Prompt Optimization 🔀 LLM Routing 💾 Response Caching 🚀 Redis Caching Strategies 🧠 Model Selection 🖥️ Local Model Deployment 🔥 vLLM Optimization 𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘂𝘀𝗶𝗻𝗴: 🐍 Python 🚀 FastAPI 🌐 Django 🧩 Flask 🟢 Node.js 📘 TypeScript 🐘 PostgreSQL 🗄️ MySQL 🍃 MongoDB ⚡ Redis 🔄 Celery 📨 RabbitMQ 🐳 Docker ☁️ AWS 🔁 CI/CD Pipelines 🔌 REST APIs Python Developer, Senior Python Developer, Python Backend Developer, Python SaaS Developer, Python SaaS MVP Developer, Python AI Developer, AI Integration Developer, AI Engineer, LLM Developer, RAG Developer, FastAPI Developer, Django Developer, OpenAI API Developer, AI Agent Developer, Backend Engineer, SaaS Developer, API Developer, AI Automation Developer, web developer, Python django, React developer, full stack developer, Data Scientist, php developer, mobile app development, software developer, mobile app developer, ios developer, developer

I provide data science and analytics support for consumer businesses. I have 13 years of analytics experience and eight in data science. See more at thedatastrategist.com. - Top 1% of Upwork data scientists - Ex-Spotify, Indeed, FanDuel, Digitas - Experience in tech, e-commerce, retail, gaming, and consumer goods - Experience working with startups, scale-ups, unicorns, and Fortune 500 companies - Combination of business knowledge and strong technical ability - Business strategy, product analysis, and data science experience

Hi, my name is Kevin, I help B2B service companies, SaaS teams, agencies and operations-heavy businesses turn messy data, manual workflows and disconnected systems into cleaner, automated business operations. My work sits at the intersection of data science, analytics engineering, intelligent automation and business systems. I use SQL, Python, Power BI, ETL/ELT workflows, APIs, CRM automation and workflow automation tools to help teams clean up their data, trust their reporting and reduce the manual work slowing them down. Core areas I can help with: • SQL, advanced queries, joins, CTEs, window functions, data modeling and query optimization • Python, Pandas, API integrations, automation scripts, data cleaning, transformation and validation • ETL/ELT pipelines, data migration, data ingestion, workflow orchestration and data quality checks • Power BI dashboards, reporting layers, DAX logic, KPI tracking and business intelligence workflows • CRM automation, lead routing, pipeline cleanup, lifecycle stages, follow-up workflows and task automation • HubSpot, Salesforce, Pipedrive, Zapier, Make, n8n, ClickUp, Google Sheets, Airtable and API-based integrations • Data QA, reconciliation, row count checks, threshold checks, deduplication, reporting accuracy and process documentation • RevOps, GTM analytics, marketing analytics, lead management automation, client onboarding and recurring service workflows The problems I usually solve look like this: • Leads come in from multiple channels, but routing, follow-up, scoring and nurturing are inconsistent. • The CRM has useful data, but the pipeline is messy, lifecycle stages are unclear, duplicates keep showing up and the team does not fully trust the system. • Reports exist, but the numbers do not match across Salesforce, HubSpot, Stripe, Google Sheets, Power BI, Looker, or the source database. • Dashboards look fine on the surface, but the SQL logic, data model, or ETL process underneath is weak. • Managers spend too much time chasing updates, checking task status, reminding people what comes next, or manually moving work between tools. • Client onboarding, project delivery, recurring service management, handoffs, reminders and renewal workflows depend on too many manual steps. • Marketing, sales and operations teams need better visibility into KPIs, conversion rates, revenue, pipeline, client delivery and team performance, but the data is scattered across too many systems. I look at the full business workflow, not just one dashboard, script, or automation. I trace where the data comes from, how it moves, where it breaks and what the team actually needs to make faster decisions. Depending on the project, I may write SQL, build a Python workflow, clean and validate datasets, design a Power BI reporting layer, connect SaaS tools through APIs, automate CRM processes, build Zapier/Make/n8n workflows, migrate data, document SOPs, or create a practical automation roadmap. My goal is simple: cleaner data, fewer manual steps, more reliable reporting and business systems that help the team move faster without adding more headcount.

I am Certified Dynamics Credentialed Professional have experience of Microsoft Dynamics 365 Business Central ,NAV (Navision), CRM, RMS & Retail Management Hero POS development cum consultancy. I have been working for technically focused MS Partners (Development Centers), Gold Partner with end-users in trade, logistic and manufacturing. Talking about my Experience, I have done work and was involved in following things: - Integrating Dynamics NAV/365 Business Central with Magento, Shopify webshop, CRM Online and POS. - Dynamics NAV Upgrades. - RDLC Reports transformation from Classic Client. - Forms transformations to Pages (For RTC client). - NAV and CRM Data Migration. - Various full Upgrades starting from 3.7 version ending with Dynamics 365 BC. - Add-in's development. - Developing Apps for Dynamics 365 financials/business center - Implementation of Managed Solution for Dynamics 365 customer support. - Custom Module development for Microsoft RMS. - Integrating CRM with Custom PHP based Webshop. - Assisting Implementation. - Bug Fixing - .Net Based plugin development With Microsoft Dynamics 365 Customer Service & CRM, I have done work and was involved in following things: - Solution Deployment and Development - Writing Business Rules - Upgrading CRM from 4.0 to 2015 - Developing and Customizing Surveys for Dynamics 365 - Create and Customizing Dashboards - Creating Forms and Views - Data Migration - Add-in's development - Plugins Development using .NET - Bug Fixing - Integrating CRM with NAV With Microsoft Dynamics RMS & Retail Management Hero POS, I have done work and was involved in following things: - Plug-in development - RMS and Webshop integration - Setting-up RMS - Background Process - Reporting (XML) Blogger at: navision360 I am hopeful that I can provide you the best solution in the reasonable time and price. Looking forward to working with you.

Building enterprise-grade software that scales, not just applications that work. I help startups, SMBs, and enterprises design, modernize, and scale cloud-based applications using Microsoft technologies, AI, and Azure. Over the last 18+ years, I've delivered business-critical solutions across Healthcare, Insurance, FinTech, Supply Chain, CRM, Manufacturing, Retail, Government, Logistics, Education, and SaaS. Technical Expertise My core expertise revolves around Microsoft's technology ecosystem, supported by modern cloud-native architecture and AI capabilities. Application Development C# • ASP.NET Core • .NET • MVC • Web API • Blazor • WPF • WinForms Cloud & DevOps Microsoft Azure • Azure Functions • AKS • Azure DevOps • CI/CD • Docker • Azure AD B2C • Cosmos DB • App Services Architecture Microservices • Event-Driven Systems • REST APIs • RabbitMQ • Distributed Applications Data & Analytics SQL Server • PostgreSQL • MongoDB • MySQL • Power BI • SSIS • SSRS • Azure Data Factory • Tableau AI & Automation OpenAI • Azure OpenAI • AI Agents • Retrieval-Augmented Generation (RAG) • Workflow Automation • Intelligent Document Processing Beyond Development Successful software isn't just about choosing the right technology—it's about making the right product decisions. I work closely with clients to: #Validate ideas before development #Design scalable architecture #Improve existing systems instead of rebuilding unnecessarily #Identify automation opportunities #Reduce technical debt #Plan long-term product evolution Why Clients Choose to Work With Me Clients don't hire me simply because I know .NET or Azure. They work with me because I combine technical depth with business understanding. I focus on: #Understanding business objectives before proposing solutions #Writing clean, maintainable, and scalable code #Clear communication throughout the project lifecycle #Delivering production-ready software, not prototypes that require rebuilding #Building long-term partnerships rather than one-off engagements Whether you need a new product, legacy modernization, workflow automation, AI integration, or complex enterprise software, I can take ownership from architecture to deployment. I'd be happy to discuss your goals and recommend the most practical approach. Let's build software that delivers measurable business value.

Technical expertise of 19 years in C#, .Net, nodejs, reactJs, Blazor, SQL, NoSQL, RabbitMQ, BootStrap, Azure functions, Azure Services, Azure MQ, ELSA workflow, HTML5, Jquery, Selenium. AI enabled solution provider, AI generative code developer. Native AI solution development. Experienced in LLM API, Prompt engineering. Experienced in mudblazor, syncfusion components. And serverless programming involving Azure functions. Experienced in Microservice based architecture using Onion architecture with CQRS pattern and using Azure Bus and Rabbit for message queuing. --Courier routing slip --Saga automatonymous Database experience with 1) MSSQL Server 2) MySQL 3) MongoDB Web development experience with 1) Blazor webassembly with .Net Core 2) Blazor server with .Net Core and 3) .Net Core with Jquery Experience with Image Processing using Leadtools. Created Form builder and query builder for blazor wasm. Have Completed projects involving Health, COVID vaccination, Casting media & entertainment, Sport & Fitness, online betting process and e-commerce domains.

🏆 Top Rated Plus As a Top Rated Data Scientist and AI/ML & Workflow Automation Specialist with 7 years of experiecne , I specialize in Natural Language Processing (NLP), Data Analysis, Image Processing, Predictive Modeling, Web Scraping, ETL, EDA, Database Migration, Pipeline, Devops, CI/CD Pipeline, Frontend and Backend development. I am a dedicated Data Scientist with a strong background in Machine Learning and Artificial Intelligence. With expertise in Python and R programming languages, I specialize in developing intelligent models and algorithms to extract insights and solve complex business problems. My passion for data science combined with my experience in advanced analytics and AI enables me to deliver valuable solutions that drive data-driven decision making and yield measurable results for clients. Core Technologies: 1. Cloud-based platforms (AWS, Azure, Google Cloud): Utilize cloud infrastructure for scalability and flexibility in data processing and storage. 2. ETL processes and data integration (Snowflake Warehouse, BigQuery): Efficiently extract, transform, and load data from various sources into a centralized data warehouse. 3. Data Cleaning, Preprocessing, and Feature Engineering: Ensure data quality and extract meaningful features for analysis and modeling. 4. Natural Language Processing (NLP): Leverage text classification, sentiment analysis, named entity recognition, and topic modeling to extract insights from unstructured text data. 5. Python (NLTK, spaCy, Gensim, Stanford CoreNLP, BERT, WordNet, TensorFlow, Keras, PyTorch, OpenCV, ComputerVision, Hugging Face Transformers, Scikit-learn): Utilize a powerful programming language for data analysis, machine learning, and computer vision tasks. 6. R (Tidyverse, Caret, text mining packages): Leverage a statistical programming language for data analysis and modeling. 7. SQL and Database Management: Manage and query structured data in databases using SQL. 8. Exploratory Data Analysis (EDA) and Data Visualization: Explore and visualize data to gain insights and identify trends. 9. Predictive Modeling - Regression, Classification, Time Series Forecasting: Apply statistical and machine learning models to predict future outcomes. 10. Image Processing - Object Detection, Image Recognition, Image Segmentation: Extract insights and patterns from image data using computer vision techniques. 11. Web Scraping (BeautifulSoup, Selenium, Scrapy, Puppeteer, Octoparse, ParseHub, Apify): Automate data collection from websites using web scraping tools. 12. Full-stack development with proficiency in both front-end and back-end technologies: Develop end-to-end web applications with proficiency in both front-end and back-end technologies. 13. Statistical Analysis and Hypothesis Testing: Apply statistical methods to test hypotheses and draw conclusions from data. 14. Data Visualization Libraries (Matplotlib, Seaborn, Plotly, ggplot (ggplot2), Tableau): Visualize data using powerful and flexible libraries. Thank you for considering my portfolio!

I design, build, and modernize cloud data platforms that are scalable, reliable, and built for business growth. From modernizing legacy ETL/ELT pipelines to implementing enterprise data warehouses, Lakehouse architectures, and real-time data solutions, I deliver production-ready platforms across Snowflake, Databricks, AWS, Azure, and modern data ecosystems. With over 7 years of experience in Data Engineering, I have designed and delivered modern data solutions for startups, scale-ups, and enterprise organizations. My expertise spans the complete data engineering lifecycle—from architecture and platform design to implementation, optimization, cloud migration, and production support—building reliable data foundations for analytics, automation, and AI initiatives. 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 • Cloud Data Platform Architecture • Data Engineering & ETL/ELT Development • Snowflake & Databricks Implementation • Data Warehousing & Lakehouse Architecture • AWS & Azure Data Solutions • Data Migration & Modernization • Real-Time Data Streaming • Analytics Engineering & Business Intelligence 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 • Cloud Platforms AWS | Microsoft Azure | Google Cloud Platform (GCP) • Modern Data Platforms Snowflake | Databricks | Amazon Redshift | BigQuery • Data Engineering Python | SQL | PySpark | Apache Airflow | Apache Kafka | AWS Glue | Azure Data Factory • Infrastructure & DevOps Docker | Kubernetes | Terraform | CI/CD • Analytics & Visualization Power BI | Tableau 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 • Understand business objectives before designing the technical solution. • Architect scalable, maintainable, and production-ready data platforms. • Follow engineering best practices with clean, well-documented, and maintainable implementations. • Maintain clear communication, proactive ownership, and reliable delivery throughout the engagement. 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 ✔ Reduced enterprise ETL processing time by 60% through pipeline optimization. ✔ Designed and implemented scalable cloud data platforms supporting enterprise analytics and reporting. ✔ Modernized legacy data environments to improve reliability, scalability, and operational efficiency. ✔ Automated complex data workflows, improving data quality and reducing manual effort. ✔ Delivered secure, production-ready solutions with comprehensive documentation and seamless knowledge transfer. Organizations investing in modern data platforms require solutions that remain reliable as data volumes, users, and business demands grow. My focus is on delivering robust engineering, practical architecture, and long-term value through scalable, production-ready data platforms. If you're looking for a consultant to architect, build, or modernize your cloud data platform, I'd be glad to discuss your requirements.