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I bring over 15 years of IT industry experience, with proven expertise in automation, web scraping, and application development. 🔹 Core Technical Skills Applications: Web application development Automation & RPA: Automation Anywhere, UiPath, VBA, Power Automate, Power Apps Programming & Data: Python, ASP.NET, C#, MSSQL, SSIS Cloud & Data Engineering (Azure): Data Factory, Databricks, Synapse Analytics, Data Lake, SQL Database, Blob Storage, Functions, Logic Apps, Key Vault, Monitor 🔹 What I Offer Custom Automation: Design and delivery of tailored automation solutions to meet specific client needs. Cloud Data Pipelines: Development of scalable, secure, and cost-effective data pipelines in Azure. End-to-End Solutions: Hands-on expertise in workflow automation, data integration, and analytics. 🔹 Why Work With Me? Transparency: Honest, clear, and consistent communication. Reliability: Proven track record of on-time delivery. Value: High-quality, robust solutions delivered at a reasonable cost.

Data Engineer & AI Developer | 3+ Years Financial Industry Experience I build data pipelines, AI-powered applications, and automation systems that run reliably at scale. My background spans web scraping, LLM integration, computer vision, betting automation, and full-stack data dashboards — delivered to clients across the US, UK, Europe, and Japan. 💼 Background — 3+ years at a leading Indian bank building risk models, credit scorecards, and AutoML pipelines — PG Diploma in Big Data Analysis ⚡ What I Deliver — Web scrapers handling 1.2M+ URLs and 120K daily pipelines — LLM/AI apps using GPT-4, Gemini, LangChain, RAG, Text-to-SQL — Full Betting automation for horse racing, golf, and football signals — Computer vision pipelines with YOLOv8 and PaddleOCR — Streamlit dashboards, risk scorecards, and AutoML tools 🏆 Notable Work — PitchBook scraper — 1.2M URLs — Njuskalo — 120K daily real estate listings — Text-to-SQL architecture — BetFare — full Betfair automation — LLM Notebook — $1,420 solo delivery — Anti-bot bypass systems 🛠️ Stack Python · Playwright · Selenium · GPT-4 · Gemini · LangChain · Streamlit · PySpark · SQL · YOLOv8 · PaddleOCR · FastAPI · Betfair API · n8n Clean code. Clear communication. Delivered on time.

With 7+ years of experience, I'm Expert in Web Scraping, Data Engineer, AI/ML and Full-Stack Developer specializing in large-scale data extraction, automation, and pipeline engineering. I build robust, scalable systems that transform raw data into actionable insights. 💡 Core Expertise Web Scraping & Automation: Expert in bypassing anti-bot systems (CAPTCHA, rate limits, IP rotation) using Scrapy, BeautifulSoup, Selenium, Playwright, and rotating proxies. Automation & Workflow Engineering: Airflow, Prefect, Dagster, n8n, Zapier, Make, Power Automate, UiPath, Step Functions, Logic Apps, GCP Workflows, Business Process Automation, RPA, CI/CD, Jenkins, GitHub Actions, GitLab CI/CD, Monitoring & Alerting. Data Engineering: Designing and building scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data using Apache Airflow, Apache Spark (PySpark), Pandas, Dask, Databricks, Snowflake, Apache Kafka, Apache Hive, Apache Hadoop, Delta Lake, Apache Iceberg, dbt, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Apache NiFi, Trino, Presto, and Apache Beam. Experienced in data warehousing, data lakes, lakehouse architectures, data modeling, data transformation, data quality, data governance, batch and real-time processing, streaming data pipelines, orchestration, workflow automation, schema design, partitioning, optimization, and performance tuning. Proficient with cloud platforms including AWS, Azure, and GCP, S3, Redshift, EMR, Athena, Lambda, Azure Synapse Analytics, Azure Data Lake Storage, BigQuery, Cloud Storage, and Pub/Sub. Skilled in SQL, Python, data integration, data migration, CDC, metadata management, monitoring, CI/CD, Docker, Kubernetes, and modern data stack technologies. Backend Development: High-performance APIs and microservices with FastAPI, Django, Flask, and Celery for async task handling. AI/ML Integration: Leveraging NLP and LLMs (LangChain, Llama, NLTK) for data enrichment, classification, and intelligent automation. Cloud & DevOps: Deploying scalable scrapers and data workflows on AWS (Lambda, ECS, S3), GCP, Docker, and Kubernetes. 🛠️ Tech Stack Data & Scraping: ▸ Scrapy | Selenium | Playwright | Proxies (BrightData, ScraperAPI, etc) ▸ Pandas | PySpark | Apache Airflow | PostgreSQL | MongoDB | Redis Backend & Cloud: ▸ Python (FastAPI, Django, Flask) | Celery | RabbitMQ ▸ AWS (Lambda, ECS, RDS, S3) | GCP | Docker | Kubernetes AI/ML: ▸ NLP (NLTK, spaCy) | LLMs (LangChain, OpenAI, Llama) | Data Annotation Let's turn your data challenges into reliable, scalable solutions. Send me a message to discuss your project!

A Senior Data Engineer with 8+ years of experience building reliable, scalable data pipelines and infrastructure, from data ingestion and transformation through warehousing, streaming, and data analytics with dbt, Snowflake, Airflow across AWS, Azure, and GCP with robust ETL and ELT. If your data pipelines are brittle, your data warehouse is slow, or your data was never built to scale, that is exactly what I fix, with fault tolerance, observability, and audit-ready quality engineered in from day one. I cover the full data engineering lifecycle: batch and real-time data pipelines, Modern Data Stack builds, lakehouse architecture, cloud and warehouse data migration, governance, and the data foundations that feed modern systems. 🎯 Core Expertise: ✅ Data Pipelines & Orchestration: End-to-end batch and real-time pipelines with Apache Airflow, Dagster, Prefect, and Azure Data Factory. Idempotent, schema-drift tolerant, and monitored so failures surface before they reach your stakeholders. ✅ Cloud Warehousing & Lakehouse: Snowflake, BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric, with Delta Lake and Apache Iceberg lakehouse foundations, Medallion Architecture, partitioning, and performance tuning. ✅ Data Transformation & Modeling: dbt (Core and Cloud), SQLMesh, Spark and PySpark, Star Schema and dimensional modeling, analytics engineering best practices, full test coverage, and CI/CD for data models. ✅ Streaming & Real-Time Analytics: Distributed streaming with Apache Kafka, Flink, Spark Structured Streaming, Kinesis, and Pub/Sub, including exactly-once semantics, dead-letter queues, CDC, and end-to-end latency guarantees. ✅ Data Ingestion & Integration: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, and custom CDC pipelines for near-real-time sync across structured, semi-structured, and unstructured sources. ✅ Data Quality, Governance & Observability: Automated data quality frameworks, SLA monitoring, auditable lineage, data catalog and metadata management, and observability that catches bad data early. ✅ Cloud Migration & Modernization: Zero-downtime migration handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime, replacing brittle ETL and ELT with a clean Modern Data Stack. ✅ AI-Ready Data Infrastructure: Pipelines engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ------------------------------------------------------ ⚙️Tech Stack: ⚡ Warehouses & Lakehouse: Snowflake | BigQuery | Redshift | Databricks | Microsoft Fabric | Delta Lake | Iceberg ⚡ Transformation: dbt | SQLMesh | Spark | PySpark | Star Schema | Medallion Architecture ⚡ Orchestration: Airflow (GCP Cloud Composer and AWS MWAA) | Dagster | Prefect | Azure Data Factory ⚡ Streaming: Kafka | Flink | Kinesis | Pub/Sub | Spark Structured Streaming | ClickHouse ⚡ Ingestion: Fivetran | Airbyte | Matillion | Stitch | Hevo | Meltano | CDC ⚡ Cloud: AWS | GCP | Azure ⚡ Languages: Python | SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) | FastAPI ⚡ Databases: PostgreSQL | MySQL | SQL Server | DynamoDB | MongoDB ⚡ BI & Reporting: Looker | Tableau | Power BI | GA4 | Metabase | Superset | Streamlit | Grafana ------------------------------------------------------ ⭐ What Clients Say: 🏅 "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS 🏅 "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm 🏅 "Clean architecture, solid dbt models, and Airflow pipelines running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup 🏅 "We came to him with a Spark pipeline costing us a fortune and delivering stale data. He restructured the workflow logic and cut processing time by 70%." – Leo, Head of Analytics, HealthTech SaaS ------------------------------------------------------ 🏆 TOP RATED PLUS | EXPERT-VETTED | Top 1% on Upwork | 8+ Years Experience | 100% Job Success 🚀 Ready to build a scalable, production-ready data infrastructure to turn your raw data into reliable, actionable business insights? Click the 'Invite to Job' button on the top right, and let's discuss your data pipeline!

12+ years building enterprise data platforms, security implementations, and system integrations. Python is my primary language. Four areas of deep expertise: ① Data Engineering — Python, PySpark, BigQuery, Kafka, Airflow. Petabyte-scale pipelines processing billions of records. ② BI & Analytics — PowerBI, Looker Studio. Dashboards that drive decisions, not just display data. ③ Microsoft Security — Intune, Conditional Access, Sensitivity Labels, SharePoint Online security, Entra ID. ④ System Integration — Python APIs, multi-platform connectors, automation workflows, real-time data sync. I've delivered 14+ production platforms across pharma, finance, automotive, retail, and media. Data I've worked with: clickstream, payments, video streams, social media feeds, CRM/ERP, IoT telemetry, documents, healthcare records, e-commerce transactions, live TV broadcasts. ① Data Engineering & Big Data ✅ Python Stack: PySpark, Pandas, NumPy, FastAPI, Flask, Scikit-learn, TensorFlow, PyTorch ✅ Big Data: Spark, Kafka, Flink, Hive, Presto, Airflow, NiFi, Dagster ✅ GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Composer ✅ Azure: Synapse, Data Factory, Data Lake, Event Hub, Cosmos DB ✅ AWS: S3, Glue, EMR, Athena, Lambda, Redshift, SageMaker ✅ Storage: Delta Lake, Hudi, Iceberg, PostgreSQL, MongoDB, Elasticsearch ② BI & Analytics ✅ Dashboards: PowerBI, Looker Studio (Google Data Studio), Tableau, Metabase, Superset ✅ Reporting: Executive dashboards, operational metrics, real-time monitoring, KPI tracking ✅ Data Modeling: Star schema, snowflake, semantic layers, DAX, LookML ✅ Use Cases: Sales analytics, customer insights, pipeline monitoring, compliance reporting ③ Microsoft Security & Administration ✅ Endpoint Management: Microsoft Intune, Device Compliance, App Protection Policies ✅ Identity & Access: Entra ID (Azure AD), Conditional Access Policies, Authentication Contexts ✅ Data Protection: Sensitivity Labels, DLP Policies, Information Barriers ✅ Microsoft 365: SharePoint Online Security, PnP PowerShell, Teams Administration ✅ Governance: Compliance Manager, Security Center, Audit Logs ④ Integration & Automation ✅ Python APIs: FastAPI, Flask, Django REST Framework, Requests, HTTPX ✅ Connectors: Salesforce, HubSpot, Zoho, Shopify, GA4, CRM/ERP systems ✅ Automation: Azure Logic Apps, Power Automate, AWS Step Functions, Airflow ✅ Real-Time Sync: Kafka, Event Hub, Pub/Sub, Webhooks ✅ Scripting: Python, Bash, PowerShell, Node.js 🏆 Featured Projects: Real-Time Market Intelligence ✅ Python + Spark streaming pipeline ingesting social media + live TV for stock rumor detection. Sub-minute alerts. PowerBI dashboards for stakeholder monitoring. ✅ Executive Analytics Platform (E-Commerce): Built PowerBI dashboards tracking sales, inventory, geo-region performance, and customer trends. Connected to BigQuery data warehouse with real-time refresh. ✅ Microsoft 365 Security Implementation (Enterprise): Deployed Intune device management, Conditional Access with authentication contexts, Sensitivity Labels across SharePoint. Compliance policies and DLP for regulated environment. ✅ Unified Data Platform (Pharma): Python/PySpark ETL processing 50M+ records from 20+ sources. Looker Studio dashboards for physician-patient analytics and compliance reporting. ✅ Multi-Platform Integration (Automotive): Python connectors syncing CRM, DMS, OEM portals into unified customer view. PowerBI dashboards for sales performance and predictive insights. ✅ Document Intelligence System (Accounting): Python + OCR + deep learning pipeline for automated classification and extraction. Reduced manual processing by 80%. ✅ Customer Data Platform (Music/Retail): Python connectors for Shopify, GA4, Salesforce, HubSpot. Looker Studio dashboards tracking fan engagement, campaign ROI, and customer LTV. Why Work With Me? 🐍 Python Expert — 12+ years writing production Python code daily 📊 BI & Visualization — PowerBI and Looker dashboards that executives actually use 🚀 Proven Scale — Petabyte-scale platforms, billions of records, enterprise-grade security ⚡ End-to-End Delivery — Pipelines → Dashboards → Security → Production 🔐 Security-First — Compliance, governance, and data protection built in 🔗 Integration Expert — Connected 50+ platforms across CRM, ERP, marketing, and analytics ☁️ Multi-Cloud — Equally fluent in Azure, GCP, and AWS Certifications: 🥇 Google Cloud Certified Professional Data Engineer 🥇 Generative AI with Large Language Models — Coursera 🥇 Great Lakes Certified Deep Learning Professional 🥇 Treasure Data CDP Expert Domains: Finance | Pharma | Automotive | Retail | HR | Education | E-Commerce | Media I take on complex builds—Python-powered data platforms, BI dashboards, security implementations, multi-system integrations. If it needs to work at scale and be production-ready, let's talk.

I build AI chatbots and agents using OpenAI, RAG, and vector databases that automate customer support and product workflows for e-commerce businesses. Recently built AI systems for product enrichment, support automation, and recommendation engines. I help e-commerce and SaaS companies build production-ready AI agents and data systems that scale. What I specialize in: ✔ AI Chatbots & Agents (OpenAI, RAG, LangChain, Pinecone) ✔ E-commerce automation (support, catalog enrichment, recommendations) ✔ Backend systems for AI (APIs, workflows, integrations) ✔ AWS-based data pipelines (S3, Lambda, Glue) ✔ Cost-optimized cloud architectures Real AI Use Cases I’ve Built: • AI customer support agents reducing manual workload • Product enrichment pipelines using AI • Recommendation engines using embeddings • Automated marketing & engagement workflows • AI-powered analytics dashboards Tech Stack: OpenAI, LangChain, Pinecone, Python, Django, AWS (Lambda, S3, ECS), GCP Why clients work with me: • I build systems, not demos • Strong backend + AI combination • Focus on scalability & cost optimization • Experience with real production workloads If you're looking to build AI agents that actually work in production, I can help.