I have several years of experience, using multiple programming languages and frameworks, in both academia and industry, in statistical modeling, probabilistic programming, classical machine learning and application of deep learning in several domains. The last several years I have been primarily ad cloud and data architect and data engineer and AI engineer. I have extensive experience in data modeling, pipeline development, data compliance, and worked with several database technologies (relational, NoSQL, graph, Hadoop and Spark), as well as CI/CD, API development, and architecting and development with multi-cloud computing platforms (Microsoft Azure, AWS, and GCP). I have deep experience in Databricks, and am a certified data engineer professional. 

I have worked in various fields such as, statistical genetics, behavior genetics, computational social science, app development, FinTech and healthcare data. The last 3 years I have run a consultancy while also building two profitable startups as data architect, data engineer while also being responsible for AI engineering and machine learning. Current Certifications: Databricks: Data Engineer Professional Azure: Developer, Data Scientist, Data Engineer, AI Engineer AWS: Data Engineer GCP: Data Engineer I have an extensive background in Python, R, JavaScript, SQL (T-SQL, PostgreSQL, SparkSQL, Databricks SQL, CQL, HiveQL, Cypher, KQL), with most data science libraries such as Pandas, NumPy, Scikit-learn, SciPy, SymPy, Rapids, PySpark, TensorFlow and TensorFlow Probability, Keras, PyTorch. I have extensive experience with standard data engineering tools: Snowflake, Databricks, Spark, PostgeSQL , dbt , Neo4j, Hadoop, Airflow, Beam, Iceberg, Hive, Kafka

, AirFlow, Flink, SuperBase, Hadoop, Dagster, Prefect, dot. As well as deep experience with several AI frameworks and automation tools: DSPy, LlamaIndex, BAML. LangChain, Hugging Face, AutoGen, LangGraph, a2a, MCP the AI frameworks of all 3 major cloud providers, n8n, Make, PipeDream, Flowise, Zapier, 5 Tran, and AirByte. 
I have extensive experience with multiple cloud providers, especially with the following skills and cloud products:
 General Cloud Development: Databricks in any cloud Azure: Storage, Networking, Functions, VMs, App Service, Synapse, Data Factory, DevOps, Kubernetes Service, API Management, Service Bus, Event Hubs, Event Grid, PubSub, Notification HubsRelay, IoT Hub, Power Apps, Power Automate, Azure Machine Learning, Synapse Analytics, Data Lake Storage, SQL Server, Cosmos DB, Data Flow, Stream Analytics, HDInsight, Redis, Cognitive Services, Text Analytics Service, LUIS, Custom Vision, Bot Service, Cognitive Search, and the general Power Platform AWS: S3, EBS, EC2, Lambda, Networking, RDS, Redshift, Arora, Athena, DynamoDB, DocumentDB, Lake Formation, Glue, Redis, SageMaker, Bedrock, Kinesis, QuickSight Elasstic Beanstalk, Elastic Kubernetes Service, Databricks, Pipeline, EMR, CloudWatch GCP: Storage, Networking, Cloud Functions, VMs, App Engine, Kubernetes Engine, API Gateway, BigQuery, BigTable, DataProc, Composer, DataFlow, Data Fusion, Data Studio, Cloud SQL, CloudSpanner, Cloud Memorystore, Pub/Sub

Senior AI, Data & BI Full-Stack Engineer with 10+ years of experience delivering intelligent, data-driven platforms. I help companies transform raw data into powerful AI solutions, scalable data pipelines, and insightful BI dashboards that drive business decisions. From AI model development and LLM integrations to enterprise data architecture and full-stack analytics platforms, I deliver end-to-end solutions used by startups, SaaS companies, and enterprise organizations. I specialize in building production-ready AI systems, modern data platforms, and real-time analytics infrastructures. What I Can Help You Build AI & Machine Learning - Large Language Model (LLM) applications - Retrieval Augmented Generation (RAG) - AI agents & automation - NLP systems - Recommendation engines - Predictive analytics - Computer vision models - Model training, fine-tuning & deployment - AI SaaS products Tools: Python, PyTorch, TensorFlow, HuggingFace, LangChain, LlamaIndex, OpenAI API Data Engineering & Data Platforms - End-to-end data pipeline development - Data warehouse architecture - ETL / ELT pipelines - Real-time data streaming - Data lake implementation - Big data processing - Data governance & optimization Tools: Apache Spark, Airflow, Kafka, dbt, Snowflake, BigQuery, Redshift, Databricks Business Intelligence & Analytics - Executive dashboards - KPI reporting systems - Self-service BI platforms - Data modeling & semantic layers - Data visualization - Financial / operational analytics BI Tools: Power BI, Tableau, Looker, Superset, Metabase Full-Stack Data Applications - AI-powered SaaS platforms - Data APIs - Analytics web applications - Internal data tools - Backend systems for AI products Tech Stack: - Python, FastAPI, Django, Node.js - React, Next.js, TypeScript - PostgreSQL, MongoDB, Redis - Docker, Kubernetes, AWS, GCP, Azure Cloud & Infrastructure: - AWS, GCP, Azure - Terraform, Kubernetes, Docker - CI/CD, MLOps, DataOps Why Clients Work With Me: - Architect scalable AI and data platforms - Build production-grade systems (not just prototypes) - Clear communication and documentation - Enterprise-level security and performance optimization - Long-term technical partner mindset Example Projects: - AI knowledge assistant using RAG + LLM + vector databases - Real-time data pipeline processing millions of events/day - Enterprise Power BI analytics platform for financial reporting - ML model predicting customer churn with 92% accuracy - AI automation tools saving companies 100+ hours/month Industries Worked With: - FinTech - SaaS - Healthcare - E-commerce - Marketing Analytics - Logistics & Supply Chain Let’s Build Something Intelligent If you need help with: - AI product development - Data platform architecture - Machine learning systems - BI dashboards & analytics - End-to-end data infrastructure Send me a message and let's discuss your project.

I help Masters/PhD students, academic researchers, and corporates turn messy data into publication-ready results, automated pipelines, and defensible insights — on time and with zero hand-holding.Bachelor’s-trained Applied Statistician (currently completing Master’s in Research Methods) with 10+ years delivering qualitative & quantitative analysis, systematic reviews & meta-analyses, statistical modeling, machine learning, and end-to-end data engineering. For students & researchers I deliver: 1. Full thesis/dissertation statistical support: data cleaning, power analysis, regression, survival, multilevel modeling, factor analysis, SEM in R, Stata, SPSS, or Python. 2. NVivo qualitative coding, thematic analysis, and mixed-methods integration. 3. Complete systematic reviews and meta-analyses (PRISMA-compliant, ready for journal submission — I recently delivered one in under 5 weeks). 4. Reproducible code + results sections that survive supervisor and reviewer scrutiny. For corporates I deliver: 1. Reliable data pipelines using dbt, Airbyte, Dagster, and Soda for automated ETL, quality monitoring, and scalable analytics. 2. Machine learning models (random forests, gradient boosting, clustering) and dashboards that actually drive decisions. My key tools are: R, Python, Stata, SPSS, Nvivo, Excel, dbt, Airbyte, Dagster, Soda, PowerBI

I build production RAG systems, LLM applications, Voice AI agents, and AI receptionists, backed by 12 years of data engineering: pipelines, ETL, and cloud infrastructure on AWS and Google Cloud. Most AI projects fail at the data layer, not the model layer. A chatbot or RAG system is only as good as the pipelines feeding it. I handle both ends: the retrieval and LLM logic, and the data infrastructure underneath it. WHAT I BUILD: - Data pipelines and ETL that keep your AI systems fed with clean data - Data warehouses and data models built for analytics and AI (Snowflake) - RAG pipelines grounded in your documents and databases - AI chatbots and AI agents for support, internal tools, and workflows - Voice AI agents and AI receptionists that answer calls, screen candidates, book appointments, and handle real conversations in real time - LLM integrations with OpenAI, Claude, and open source models DATA ENGINEERING STACK: - Python, SQL, PostgreSQL - Apache Airflow, Apache Spark, Kafka - dbt, Jenkins automation VOICE AI & AI RECEPTIONIST STACK: - Telephony: Plivo, Twilio Media Streams, LiveKit - Speech to Text and Text to Speech: Deepgram, Sarvam, Cartesia, ElevenLabs - Voice orchestration: Pipecat for real time conversation pipelines - Turn detection: Silero VAD with smart turn detection for natural, interruption free conversations - LLMs powering the conversation: Claude, OpenAI, Gemini - Backend and hosting: FastAPI, Docker, Fly IO / cloud hosting, with live call monitoring dashboards AI AND LLM STACK: - LangChain, LlamaIndex - Vector databases: Pinecone, pgvector - OpenAI API, Claude API - Prompt design, evaluation, and output monitoring CLOUD AND INFRASTRUCTURE: - AWS and Google Cloud deployment - Docker, Kubernetes - CI and CD pipelines WHY CLIENTS PICK ME: - 12+ years across IT services and product companies - Currently Data Architect at a Datakru company and delivery lead at HotReloads Digital, a product studio serving fintech and SaaS clients across India, UAE, and Europe - Built and shipped systems for startups, including two of my own, plus a working Voice AI HR screening agent that places calls, understands candidates in real time, and speaks back naturally - Production ready means monitoring, error handling, and handover docs, not just a working demo Message me for a free 15 to 30 minute call. I will tell you honestly whether I am the right fit before you spend anything.

Are unreliable reports, disconnected data sources, slow dashboards, or rising cloud costs preventing your business from making timely, data-driven decisions? I help organizations build scalable, secure, and high-performance data platforms that transform raw data into reliable business insights. Whether it's automated pipelines, modern data warehouses, real-time analytics, or cloud migration, I design systems that create a single source of truth and improve decision-making speed and accuracy. I'm a Microsoft & Databricks Certified Data Engineer with 4+ years of experience delivering data solutions across healthcare, retail, e-commerce, finance, and government sectors. My focus is building systems that are not only technically robust but also deliver measurable business impact. Proven Impact: • Processed 100M+ records seamlessly by engineering high-performance, fault-tolerant ETL/ELT pipelines. • Reduced cloud infrastructure costs by 30% through intelligent compute optimization and efficient data modeling. • Cut reporting and dashboard load times by 80%, replacing hours of manual data extraction with fully automated, real-time analytics. What I Can Help You With: ✔ Build scalable Data Lakes and Data Warehouses using Databricks, Snowflake, BigQuery, Amazon Redshift, and Azure Synapse Analytics ✔ Design and automate ETL/ELT pipelines using Apache Spark (PySpark), SQL, dbt, Airflow, Azure Data Factory, AWS Glue, and Fivetran ✔ Implement real-time data streaming and event-driven architectures using Apache Kafka, Databricks, and Azure Stream Analytics ✔ Centralize fragmented data from multiple systems into a unified analytics-ready platform ✔ Optimize performance, reduce cloud costs, and eliminate reporting bottlenecks ✔ Build clean, reliable data models for Power BI, Tableau, and Looker dashboards ✔ Migrate legacy/on-prem systems to modern cloud platforms on AWS, Azure, and Google Cloud Platform (GCP) ✔ Implement data governance, security, and compliance frameworks aligned with HIPAA, GDPR, and PHI requirements Technical Expertise: • Databricks • Apache Spark (PySpark) • SQL • Snowflake • BigQuery • Amazon Redshift • Azure Synapse Analytics • Azure Data Factory • AWS Glue • Apache Kafka • dbt • Apache Airflow • Power BI • Tableau • Looker • AWS • Microsoft Azure • Google Cloud Platform (GCP) Why Clients Work With Me: • Focus on measurable business outcomes, not just technical implementation • Production-grade, scalable, and maintainable data architectures • Strong communication and clear stakeholder alignment • Experience working across engineering, analytics, and business teams • Proven track record of improving performance, reliability, and cost efficiency Client Feedback: ⭐ "Waqar delivered the job on time and exceeded our expectations. He built our data infrastructure from scratch and solved our challenges quickly." ⭐ "A valuable asset during our cloud transition. He helped us move to the cloud and significantly improved our efficiency." ⭐ "Technically excellent, responsive, and delivered with impressive speed." ⭐ "Outstanding quality and reliability with excellent communication throughout." Let’s build a data platform that eliminates reporting bottlenecks, reduces costs, and enables real-time, confident decision-making across your organization.

I build the data pipelines and dashboards that stop your team pulling numbers by hand. 100% Job Success across 7 projects ETL automation, Power BI, SQL, and data extraction from anywhere your data lives. Most clients come to me with the same problem: data scattered across a database, a few spreadsheets, and some tool's API and someone burning hours every week stitching it together manually. I automate that end to end. WHAT I BUILD ⚙️ ETL & data pipelines Python, PySpark, SQL. Scheduled, re-runnable, and built so a failed job doesn't corrupt your numbers. 📊 Power BI & Superset dashboards real-time refresh, Power Query and DAX, built on properly modelled data instead of spreadsheet exports. 🔍 Data extraction & scraping — APIs, Airtable, GIS systems, web sources. Delivered as clean, structured, analysis-ready data. 🧹 Data quality & validation schema drift, null and type checks, reconciliation between source and report. You catch broken data before your client does. ☁️ Cloud data warehousing AWS Redshift, S3, Databricks, Delta Lake. Migrations off manual Excel workflows onto something that runs itself. 🤖 Text-to-SQL & AI data tools chat interfaces over your database so non-technical staff can ask questions in plain English. WHAT I'VE DELIVERED ✅ 700+ rule SQL engine for address standardization at a licensed fintech KYC verification cut from hours to under 2 minutes ✅ Remittance reporting automated in Python and SQL 95% less manual effort ✅ Excel workflows migrated to AWS Redshift with a rebuilt ETL layer 70% efficiency gain, 60% faster reporting turnaround ✅ Power BI dashboards running DAX over 100M+ row datasets, kept responsive ✅ 175+ optimized Databricks Spark SQL queries at 92% accuracy ✅ GIS and Airtable extraction projects delivered on Upwork repeat client both times HOW I WORK 1. You tell me where the data lives and what you wish you could see. I reply within 4 hours with an honest read on scope including if it's simpler than you think. 2. I build in visible milestones. You see working output early, not silence for two weeks. 3. You get the code, the documentation, and a walkthrough. Version-controlled and yours. No lock-in. TECH STACK Languages: Python (Pandas, PySpark, Scikit-learn) · SQL · DAX · R Cloud: AWS (S3, Redshift, EMR, IAM) · Databricks · Delta Lake · Docker Orchestration: Apache Airflow · Apache Spark BI: Power BI · Apache Superset · Tableau · Plotly Databases: PostgreSQL · MySQL · Vertica · Oracle · MongoDB · SQL Server GET STARTED Message me with where your data sits now and what's slow. I'll tell you straight whether it's a 5-hour fix or a 5-week build.

I’m a senior data engineer/solutions architect with a rigorous background in mathematical physics and over $70,000 earned on Upwork. I build production-grade lakehouse platforms, scalable ELT/ETL, and ML/MLOps—with deep, hands-on experience in Google BigQuery and Azure Databricks. I’ve delivered in both enterprise (EY-Parthenon, PwC, Amazon) and startup environments, combining Fortune-500 reliability with startup speed and pragmatism. Why clients hire me: - BigQuery at scale (fast & cost-efficient). Designed serverless ELT on BigQuery + dbt with CI/CD that cut processing costs by ~5× and powered near-real-time marketing analytics (GA4, Google Ads, Facebook Ads, Bing Ads, Shopware) in Looker Studio. - Healthcare & interoperability on Azure Databricks. Built an openEHR-driven research data platform on Azure Databricks, standardized multi-team deployments with Databricks Asset Bundles (DABs), and enforced Unity Catalog governance (RBAC + row filters). End-to-end MLOps with MLflow/Model Registry for risk models. - Enterprise-grade warehousing & CI/CD. Parameterized Synapse deployments; incremental ELT from SAP/CRM APIs with pagination/parallelism—runtime reductions ~5×. - Analytics acceleration. Improved Power BI refresh/report performance ~6× via Azure SQL tuning plus robust ADLS + ADF pipelines with CI/CD. - Proven Upwork delivery. Long-term API integration & data engineering: $44,246.67 on a single engagement (consistent 5★ track record across projects). Core services - BigQuery & GCP: Serverless ELT/ETL with dbt, Cloud Functions, Dataflow; marketing/CRM ingestion to BigQuery; cost/perf modeling; near-real-time dashboards (Looker Studio). - Azure & Databricks: Lakehouse (medallion), Unity Catalog governance, Synapse warehousing, ADF (schema drift/SCD), MLflow MLOps, DABs for IaC. - Interoperability & APIs: HL7 ↔ FHIR ↔ openEHR, REST integrations (SAP/CRM), Ads/GA4 pipelines, Google Apps Script/Node.js. Selected project highlights (Upwork & enterprise) - $44K+ long-term API integration & data engineering (Apps Script + Node.js). - BigQuery marketing & analytics stack: multi-channel ingestion, dbt modeling, CI/CD; costs down ~5×, near-real-time dashboards. - Azure lakehouse & MLOps: openEHR data hub on Databricks with DABs + Unity Catalog; MLflow-driven pipelines. - E-commerce data warehouse: end-to-end build with ML features (k-means, ARIMA/LSTM) for decision support. Certifications - Databricks Certified Data Engineer Professional - Microsoft Certified: Azure Data Engineer Associate (DP-203) - GCP coursework: Big Data & ML fundamentals / modern data warehousing Toolbox - Languages: SQL (advanced SPs/windowing/dynamic SQL), Python (pandas/PySpark/FastAPI), Spark - GCP: BigQuery (advanced), Cloud SQL, Dataflow, Cloud Functions - Azure: Synapse, ADF, ADLS Gen2, Unity Catalog, Purview, Fabric - Databricks: DABs, Workflows, MLflow, Lakehouse governance - Orchestration: dbt (advanced macros), ADF (schema drift/SCD), Airflow (basic) - Visualization: Power BI, Looker Studio, Superset, Tableau

I turn messy data and manual workflows into AI and automation systems that actually ship to production. 💰 $300K+ earned · ✅ 500+ projects delivered · ⭐⭐⭐⭐⭐ maintained across clients. 🏆 Top-Tier AI Solution Architect Senior full-stack engineer focused on getting AI systems out of the prototype stage and into production where they actually have to work. I handle the full stack, covering database modeling, API design, scalable architecture, CI/CD, and monitoring, to ensure that what is deployed holds up under real load. A bulk of my expertise covers AI/ML integration (LLM features, APIs, RAG pipelines, agentic workflows) and digital health, where I build FHIR-based interoperability to move clinical data securely between systems and meet the standards healthcare actually requires. I am open and available to discuss your project idea and support you in the implementation. What I build: 🏅 RAG & LLM Applications - Production chatbots, document Q&A, and internal knowledge assistants built on OpenAI, Anthropic, and open-source models. My focus is real retrieval accuracy and grounded responses you can trust. 🏅 API Integration & Development - Custom integrations connecting your CRM, payment systems, internal tools, and third-party services. I build and consume REST and GraphQL APIs, handle authentication and rate limits correctly, and unify disconnected systems into one clean workflow so data moves automatically instead of by copy-paste. 🏅 Process Automation Specialist / No-Code / Low-Code Automation - Rapid, cost-effective automation using n8n, Make, Zapier, and Odoo. Ideal when you need results fast without a heavy custom build. I connect the tools you already use, automate repetitive operations, and deliver workflows your team can adjust without touching code - with the option to layer in custom logic wherever no-code hits its limits. 🏅 Data Pipelines & Snowflake - Clean ingestion, transformation, and warehousing so your AI is built on trustworthy data rather than garbage in, garbage out. What working with me looks like: ✅ Clear scope and timelines before we start ✅ Production-ready solutions with documentation your team can maintain ✅ Direct communication and regular progress updates ✅ Reliable delivery under real-world conditions Have a RAG project, a data pipeline, an API integration, or an automation you keep putting off? Send me a message describing what you are trying to accomplish, and I will review and discuss the implementation plan with you. My Skills Summary: ✅ AI Automation (OpenAI, Anthropic, Claude, MCP, OpenClaw, Hermes AI) ✅ Backend Systems ✅ Automation using No-Code Tools(n8n, Make, Zapier) ✅ Data Engineering Tools(Dbt, SQLMesh, Airflow, Snowflake) ✅ Databases(PostgreSQL, MySQL, Supabase) ✅ Data Analytics Dashboards ✅ Interoperability, Webhooks and API Integration ✅ Digital Health Technologies(FHIR) ✅ Machine Learning Implementation

Data Engineer | Analytics Engineer | SQL | ETL | dbt | Power BI | Python Most businesses don't have a data problem—they have a trust problem. Slow reports, inconsistent KPIs, unreliable dashboards, and manual processes make it difficult to make confident business decisions. I help startups and growing businesses build scalable data pipelines, analytics-ready data models, and interactive dashboards that turn raw data into reliable, actionable insights. What I Can Help You With; Data Engineering ETL/ELT Pipeline Development API Integration Data Warehousing SQL Development & Optimization Data Pipeline Automation Analytics Engineering dbt Data Modeling Star & Snowflake Schema Design Data Quality Testing Analytics-Ready Datasets Data Analytics & Business Intelligence Power BI Dashboards KPI & Executive Reporting Product, Sales & Marketing Analytics Data Visualization Tech Stack SQL • Python • dbt • Power BI • Snowflake • BigQuery • PostgreSQL • MySQL • SQL Server • ETL/ELT • APIs • Git • Excel Why Work With Me? ✔ Build a single source of truth for your data ✔ Automate reporting and reduce manual work ✔ Optimize SQL and data pipelines for performance ✔ Deliver dashboards your team can trust ✔ Turn complex data into clear business insights If you're looking for a Data expert who delivers scalable, business-focused solutions—not just dashboards—I'd be happy to help.

🌟 Top 1% Expert-Vetted Freelancer 🌟 A true technology generalist with a background in engineering, education, and machine learning. Whether you need help building data/LLM pipelines, strategizing and architecting applications, or removing bottlenecks within your business, I'm here to help! 🎯 I have experience building solutions across multiple industries: - Legal Tech - Admin Automation - Health + Medicine (US Markets) - Ecommerce - Education Technology - AgTech - Manufacturing - AdTech - MarOps - CRM + Sales 🔭 I'm passionate about: - Building human-centered AI-augmented solutions 🧠 - Testing business hypotheses and strategizing production roadmaps 🧪 - Developing adaptable, future-proof infrastructure 🌉 - White-boarding 🗺️ - Bridging the gap between technical and non-technical stakeholders 🤝 - Supporting technical talent acquisition initiatives 🌟 Things I've been working on: - Massive data scrapers, data orchestration hubs, and org data dashboards that allowed teams to enrich multi-terrabyte datasets with external data sources, allow sales teams to close 37% extra sales every month. - Agentic systems and other LLM-powered applications responsible for monitoring document ingestion, creation, and editing to manage website-hosted content, reducing time requirements for existing maintenance by staff by over 50% - Deploying and maintaining self-hosted infrastructure for companies via open-source alternatives to popular SAAS web apps, saving an average of 19000 USD per year. - Client-facing reporting automation software that reduced report generation lead-times from 2-4 weeks to same day via automated data processing that reduced manual data processing time by 95%. - Cross-platform automations via code and Zapier to eliminate manual data duplication across disparate web applications via background data synchronization - Mobile/Web Apps with greater than 2,000 Monthly Active Users 🔬 My skillsets/tech stacks: Programming Languages & Core Technologies Python (Advanced - Data Engineering, ML, Automation) SQL (Advanced - Data Analysis, Database Management) PySpark (Big Data Processing) JavaScript/TypeScript (Frontend Development) Node.js (Backend Development) AI & Machine Learning LangChain (LLM Applications) OpenAI API (GPT Integration) Claude API (Anthropic AI) AWS Bedrock (Enterprise AI) Prompt Engineering (Advanced) Model Fine-tuning (Custom AI Solutions) Natural Language Processing (NLP) Computer Vision (CV Applications) Cloud Platforms & Infrastructure AWS (Lambda, S3, Glue, Step Functions, CloudFormation) Google Cloud Platform (GCP - Vertex AI, ML Deployment) Microsoft Azure (Data Factory, Functions, App Services, SQL) Docker (Containerization) Terraform (Infrastructure as Code) Kubernetes (Container Orchestration) Data Engineering & Analytics Apache Spark (Big Data Processing) Apache Airflow (Workflow Orchestration) Prefect (Data Pipeline Automation) DBT (Data Transformation) LookML (Looker Modeling) Data Warehousing: Snowflake, BigQuery, RedShift ETL/ELT Pipelines (Scalable Data Processing) DevOps & CI/CD GitHub/GitLab (Version Control) CircleCI (Continuous Integration) Nginx (Web Server Configuration) Azure DevOps (CI/CD Pipelines) Infrastructure Automation (95%+ error reduction) Web Technologies & APIs FastAPI (High-performance APIs) React (Frontend Development) API Integration (RESTful Services) Web Scraping (Scrapy, Selenium, BeautifulSoup) OAuth2 Implementation (Secure Authentication) Data Visualization & BI Power BI (Business Intelligence) Tableau (Advanced Analytics) Custom Dashboards (Data-driven Decision Making) Databases & Storage MongoDB (NoSQL) Azure SQL Database (Relational) Azure Data Lake Gen2 (Big Data Storage) S3 (Object Storage) Specialized Skills Chatbot Development (80% support ticket reduction) Healthcare Data Analytics (Claims Processing) Multi-tenant Architecture (Scalable SaaS Solutions) Real-time Data Processing (Event-driven Architecture) Web Automation (Selenium, Custom Scripts) Hardware Prototyping (Arduino, Raspberry Pi) 📞 Ready to discuss your project? Book a consultation with me today! 📅