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I’m a hands-on enterprise software professional with 14+ years of experience building scalable, process-driven solutions using leading AI, RAG, AI Agents, Agentic AI workflows implementation and collaboration, Vector DB, Graph DB, BPM platforms like Camunda 7 BPM, Camunda 8 BPM (Zeebe), Flowable BPM, Activiti BPM, and JBPM with Spring boot micro services and Python. I’ve helped clients design, automate, and optimize complex business processes for banking, insurance, government, and finance sectors. 💼 What I Do Best ✅ AI & LLM Integration | Intelligent Automation | RAG | Agentic Workflows | N8N (AI Autumation) | Airtable - AI-powered chatbot assistants using OpenAI GPT models, Claud and Ollama (Mistral, Llama), Claud with Python FastAPI, Claude and OpenAI Agents SDK. - Semantic search pipelines using vector db(FAISS and Qdrant), Graph DB(Neo4j), enabling Retrieval-Augmented Generation (RAG) for high-relevance contextual responses. Voice agent platform(RetellAI). - Built custom AI agents with tool usage and memory, orchestrated using LangChain /Langgraph / Agentic frameworks(CrewAI) for multi-step automation tasks and N8N AI workflow automation. - Seamlessly integrated AI assistants into Business Process Management (BPM) workflows (e.g., Camunda) to optimize decision making and automate repetitive user interactions. - Automated agentic workflows for tasks like retrieve incident status, details, cancellation requrest, get incident details via email, create incident, text summarization for form fields, document summarization, incident triage, ticket classification, and knowledge base augmentation. -Auto email responder using, email notifications, whatsapp notifications, SMS, telegram notifications using multi agents workflows. ✅ Business Process Automation - Camunda 7 / Camunda 8 (Zeebe) / Flowable / JBPM / Activiti BPM - Process modeling (BPMN), DMN, and custom workflow engines - Drools, Zen(GoRules) rule engine and complex decision automation ✅ Backend & Microservices Development - Java (Spring Boot, Spring Security, JPA, Hibernate) - Python (FastAPI) for high-performance APIs and AI integrations - RESTful API design, OAuth2, JWT, Keycloak-based security ✅ ETL Tools - Apache NiFi - Apache Airflow ✅ DevOps & Cloud Deployments - Docker, Kubernetes (EKS, ECS) - CI/CD with Jenkins, GitHub Actions - AWS (EC2, S3, Lambda, CloudWatch, API Gateway etc.) ✅ Integrations & Messaging - Apache Kafka (Confluent), RabbitMQ, Apache Camel - Elasticsearch, Apache Solr, Lucene for advanced search - Payment gateways: Stripe, Razorpay, PayPal, Moneris ✅ Frontend Capability (with expert UI/UX team) - Angular, ReactJS, NodeJS - PSD/XD to responsive HTML, Tailwind, Material UI 🎓 Corporate Trainings & Mentorship I offer professional training programs (remote/onsite) on: - Camunda 7 / Camunda 8 (Zeebe) - Flowable / Activiti / JBPM - Elasticsearch ✅ Why Clients Work With Me - Deep domain knowledge in AI + BPM + Microservices - Strong architecture, documentation & code quality - Proven track record delivering enterprise-grade systems - Ability to lead full project lifecycle — from POC to production 💬 Let’s connect and discuss how I can automate and optimize your business with smart workflows, secure APIs, and cloud-native systems.

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!

I'm a highly skilled API & ETL developer with over 10 of experience building scalable, secure, and efficient data integration solutions. Whether you're a startup needing to connect multiple SaaS platforms or an enterprise modernizing legacy pipelines, I help you unlock the full potential of your data. ✅ What I Do Best: API Development & Integration REST | GraphQL | SOAP | Webhooks | Authentication (OAuth2, JWT) I design and build robust APIs or integrate with third-party services (Salesforce, HubSpot, Stripe, etc.) ✅ ETL/ELT/EDI Pipeline Design Airflow | Talend | Apache NiFi | dbt | Azure Data Factory | Informatica Clean, transform, and move data across systems efficiently and reliably. ✅ Data Integration & Automation Seamless connections between databases, cloud platforms, CRMs, ERPs, and custom apps using Python, SQL, and low-code tools like Zapier, Servicenow and Make. ✅ Cloud Platforms & Databases AWS | GCP | Azure | Snowflake | Redshift | BigQuery | PostgreSQL | MongoDB 🛠️ Tech Stack Highlights: Python,PHP, SQL, FastAPI, Flask, Node.js, Docker, Kubernetes, Apache Kafka, JSON/XML, Pandas, Git 🎯 Why Clients Hire Me: Strong communicator who understands both tech and business Agile, clean, and scalable code Proven track record of reducing manual processes & saving teams hours per week 100% commitment to project success and client satisfaction Let’s talk about how I can help streamline your data flows, reduce bottlenecks, and deliver fast, reliable integration that scales.

I'm a Senior Data Engineer with 8+ years of strong technical expertise in building reliable and scalable data infrastructure, from data ingestion to transformation to warehousing, streaming, and data analytics, specializing in dbt, Snowflake, Airflow, Databricks (and more) across AWS, Azure, and GCP, with robust ELT and ETL pipelines. 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, AWS Step Functions, 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 governed through the Glue Data Catalog and Lake Formation, with Athena and Redshift Spectrum for serverless queries, Medallion Architecture, partitioning, and performance tuning. ✅ Data Transformation & Modeling: dbt (Core and Cloud), SQLMesh, Spark and PySpark on EMR and AWS Glue, 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 | Athena | Delta Lake | Iceberg ⚡ Transformation: dbt | SQLMesh | Spark | PySpark | AWS Glue | EMR | Star Schema | Medallion Architecture ⚡ Orchestration: Airflow (GCP Cloud Composer and AWS MWAA) | Dagster | Prefect | Azure Data Factory | Step Functions ⚡ Streaming: Kafka | Flink | Kinesis | Pub/Sub | Spark Structured Streaming | ClickHouse ⚡ Ingestion: Fivetran | Airbyte | Matillion | Stitch | Hevo | Meltano | CDC ⚡ Governance & Catalog: Glue Data Catalog | Lake Formation | Unity Catalog | Microsoft Purview | Dataplex ⚡ 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!

I have a 12 years experience In Devops. I'm able build data pipelines on any cloud platform or even on promise. Experienced Python developer (also proficient in Typescript, R, SQL) with a data science background, experienced in building batch and streaming data pipelines, infrastructures, and bringing machine learning models to production. Familiar with common data tech stacks, architecture design, DevOps, and ML (Data Science) including Airflow, Kafka, Hadoop, PySpark, Kubernetes, AWS, Google Cloud Platform. The different services I can provide are the following. -Machine learning / Deep learning algorithms - Database migration (BigQuery, Redshift, Postgres, MySQL, etc). - Datawarouse architecture. - ETL developments (Python, Scala, Spark). - Data pipelines architecture and deployments (airflow, Kubernetes). - Applications containerization (Docker, Kubernetes) - Big data processing using Spark Scala - Building large Scale ETL - Could Management - Distributed platform development - Machine learning - Python Programming - Algorithm Development - Data Conversion (Excel to CSV, PDF to Excel, CSV to Excel, Audio) - Data Mining - CI/CD - Data extraction - ETL Data Transformation - Data Cleansing - OCR (Optical Character Recognition w/ Tesseract) - Linux Server Administration - Anaconda Python / Conda / Miniconda Administration - LXC/LXD Virtualization / Linux Containers - Website & Data Migrations I am highly attentive to detail, organised, efficient, and responsive. Let's get to work! 💪 Since my profile is brand new, I offer my service for low price because I need to improve my reputation.

𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐒𝐮𝐦𝐦𝐚𝐫𝐲 Senior Solutions Architect with 16+ years of hands-on experience designing and delivering enterprise-scale platforms across AI/GenAI, cloud (AWS, Azure, GCP), SAP Commerce (Hybris), and system integration. Proven track record building AI orchestration and agentic systems (LangGraph, LangChain, multi-agent pipelines), migrating on-prem middleware to cloud-native architectures, and leading SAP Hybris/S4-HANA e-commerce transformations for global enterprises. Delivered architecture and technical leadership for organizations including GE, UBS, Bank of America (MBNA), Avaya, Emirates NBD, Haas Automation, Kao Corporation, Land Transport Authority, TravisMathew, Elo Touch Solutions, ITC, SAP Labs, Wipro, Infosys, and IBM. International project experience across Spain, the US, the UK, Thailand, and Malaysia, leading distributed multicultural engineering teams. Recipient of the Outstanding Performance Award (2010) - SDG Corporation, Noida. 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝘁𝗶𝗺𝗲-𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗲, 𝗿𝗲𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝘁𝗮𝘀𝗸𝘀 𝗶𝗻𝘁𝗼 𝘀𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗲𝗱, 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀—𝗳𝗿𝗼𝗺 𝗹𝗲𝗮𝗱 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗼𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴 𝘁𝗼 𝗰𝗼𝗺𝗽𝗶𝗹𝗶𝗻𝗴 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲, 𝘃𝗶𝘀𝘂𝗮𝗹𝗹𝘆 𝗰𝗼𝗺𝗽𝗲𝗹𝗹𝗶𝗻𝗴 𝗿𝗲𝗽𝗼𝗿𝘁𝘀 𝗮𝗻𝗱 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀. 𝗜 𝗵𝗲𝗹𝗽 𝗯𝗼𝗼𝘀𝘁 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆, 𝗿𝗲𝗱𝘂𝗰𝗲 𝗺𝗮𝗻𝘂𝗮𝗹 𝗲𝗳𝗳𝗼𝗿𝘁, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲 𝘆𝗼𝘂𝗿 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀. 𝐂𝐨𝐫𝐞 𝐀𝐫𝐞𝐚𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 • AI / GenAI Architecture: RAG pipelines, agentic AI (LangGraph, LangChain), LLM orchestration (OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, Azure Databricks, Azure OpenAI, Mistral, LLaMA, DeepSeek), fine-tuning (LoRA/QLoRA), vector databases (Pinecone, ChromaDB, PGVector, FAISS), LLM observability (Langfuse, LangWatch, Dynatrace AI). Azure Kubernetes Service (AKS),Azure Data Factory • Cloud Architecture: AWS (Lambda, ECS/Fargate, Step Functions, SQS/SNS, Bedrock, SageMaker), Azure (AKS, Functions, Service Bus, AI Studio, Databricks, Synapse), GCP (GKE, Cloud Functions, Terraform IaC, Anthos). Microservices, Kubernetes, Docker, Helm, GitOps. • SAP Ecosystem: SAP BTP, CAP, Integration Suite, Event Mesh, API Management, Hybris Commerce, Spartacus, SAP Fiori/UI5, S/4HANA, SAP HANA, SAP Analytics Cloud, Ariba, SAP Build, SAP Neptune, SAP CPQ, AI/LLM integration into SAP commerce (chatbots, smart search, triage). • Integration & Platform Engineering: MuleSoft, Software AG, Apache Camel, Kafka, RabbitMQ, API Management (Apigee, Kong, Azure API Management, AWS API Gateway), event-driven architectures (EventBridge, SNS/SQS, Kinesis, Azure Event Grid), n8n workflow automation for onboarding, alerting, and incident response. • Languages & Databases: Java (21), Python 3.10.x, Go 3.x, Postgres 16.x, MySQL, MongoDB, Faiss, ChromaDB • UI & Mobile : HuaweiOS Next (Cangjie, ArkTs), Android Apps, Kotlin, React.js, Angular.js, Node.js, React-Native.js,Next.js, HTML,CSS3,JavaScript,JQuery,Prototype.js,Meteor.js,Backbone.js, Underscore.js • Leadership: Engineering team leadership, stakeholder management, technical architecture strategy, Agile/SCRUM/TOGAF, DevSecOps, MACH architecture.