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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.

Need a data platform that works in production, not just on a whiteboard? I design and build end-to-end data systems that turn fragmented raw data into trusted analytics and AI-ready infrastructure. 10+ years experience. Founder of Vyntics. Delivered consulting solutions for AT&T, Patreon, Jumio & Acko. WHAT YOU GET: Reliable ETL/ELT pipelines (batch + streaming) that keep dashboards accurate and stop 2 AM debugging Cloud data platforms (AWS/GCP) optimized for scale, cost control, and long-term maintainability Production-grade AI/RAG systems: accurate retrieval, eval pipelines, and scalable deployment Legacy-to-cloud migrations with zero-downtime cutovers and built-in validation frameworks PROVEN IMPACT: Migrated enterprise warehouse to BigQuery: 40% lower query costs, zero downtime Built Databricks lakehouse (Delta + Unity Catalog) for governed self-service analytics Designed Snowflake + dbt architecture that cut ELT dev time by 60% Deployed RAG systems on real-world data with measurable accuracy and latency improvements HOW I WORK: Flexible engagement: I can architect your system in a focused 2-week discovery sprint, or lead full end-to-end delivery via my Vyntics team. Always production-first, cost-aware, and documented for your team's long-term success. BEST FIT FOR: Startups scaling infrastructure | Companies migrating legacy systems | Teams adding AI/RAG | Leaders who want clarity before heavy investment Evaluating your data strategy or stuck on architecture decisions? Message me with your challenge. I will reply with 2-3 actionable next steps, no obligation. Arun Mudgal Founder & Principal Consultant, Vyntics

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.

🚀 Data Engineer & Solution Architect | Scaling Data Platforms 10× Without Breaking Them I design data systems that don’t just run, they scale, perform, and stay reliable under real-world pressure. With 7+ years building enterprise-grade platforms, I’ve seen the same story repeat: A pipeline works at 10M records… then collapses at 100M. Costs spiral. Latency explodes. Nobody wants to touch the legacy system. That’s where I come in. 🧠 What I Actually Deliver I architect cloud-native data platforms built for tomorrow not quick fixes for today. ✔ Migrate fragile legacy systems to modern, resilient architectures ✔ Design scalable data lakes and lakehouses ✔ Optimize pipelines bleeding money and compute ✔ Build real-time analytics for mission-critical decisions ✔ Create foundations ready for AI/ML workloads Result: Systems that grow with your business instead of holding it back. ⚙️ Deep Technical Expertise Across the Stack ☁️ Cloud Platforms AWS: Glue, EMR, Redshift, Kinesis, S3, Lambda, Lake Formation, DMS, MSK, RDS Azure: Data Factory, Synapse, Databricks, DevOps GCP: Dataflow, Cloud Functions, Cloud Storage 🔥 Big Data & Streaming Apache Spark (Scala & PySpark) • Kafka • Kinesis • NiFi • Hadoop Ecosystem • Airflow • Delta Lake 💻 Programming Python • Scala • SQL • Shell • Java 🗄️ Databases & Storage PostgreSQL • MySQL • Oracle • SQL Server • MongoDB • Cassandra • DynamoDB • Elasticsearch 🛠️ DevOps & Infrastructure Docker • Kubernetes • OpenShift • Terraform • Jenkins • Ansible • Git 📊 Observability & Governance CloudWatch • ELK • Grafana • Athena IAM • Lake Formation • Encryption • Audit Logging • Okta • Cognito 🏢 Enterprise Experience That Matters I’ve delivered production systems for Fortune 500 organizations across finance, energy, hospitality, and SaaS handling hundreds of millions of records daily. From ingestion → transformation → real-time analytics → security → DevOps automation — I design the full lifecycle. 🏆 Proven Impact ✔ Re-architected legacy pipelines → 5× performance boost & 60% cost reduction ✔ Built event-driven systems processing 500M+ records/day ✔ Delivered secure data lakes with row-level governance ✔ Reduced MTTR by 70% with end-to-end observability ✔ Led zero-downtime cloud migrations ✔ Secured $2B+ transaction data with encryption platforms 🤝 Best Fit For Organizations That Need 🔹 Cloud migration with strong architectural guidance 🔹 Performance or scalability bottlenecks 🔹 Data platforms for AI/ML initiatives 🔹 Multi-cloud or hybrid strategies 🔹 Long-term reliability over quick hacks ⚠️ Not a Fit For ❌ One-off scripts or basic SQL tasks ❌ Temporary data cleanup work ❌ Short-term patch solutions I focus where architecture decisions create lasting business value. 💬 What Clients Value Most Clear thinking on complex problems Communication executives understand Engineering teams trust Systems built to last 👉 If your data platform needs to scale, stabilize, or modernize then let’s talk.

🏆 TOP RATED PLUS || Top 1% on Upwork || Expert Vetted || 8+ Years of Experience || 100% Job Success Most data teams are held back by unreliable pipelines, warehouses they cannot trust, and data infrastructure that was never built to scale. That's exactly what I fix. As a Senior Data Engineer, I don't just write SQL and call it a pipeline. I architect end-to-end data systems where reliable ingestion feeds into clean, versioned transformations that power decisions your business can act on. My approach prioritizes fault tolerance, scalability, and observability across both batch processing and real-time analytics workloads. This ensures your data infrastructure is not just functional, but resilient and audit-ready. Whether you need cloud data migration, data platform modernization to a Modern Data Stack (Snowflake/dbt/Airflow, Microsoft Fabric), or streaming analytics infrastructure, I deliver production-grade systems that help technical founders and data teams eliminate pipeline debt, automate complex data workflows, and build scalable infrastructure ready for AI workloads. -------------------------- Where I make the biggest impact: ✅ I lead data migration and data platform modernization projects, replacing brittle ETL and ELT pipelines with a Modern Data Stack built on Snowflake, dbt, Airflow, and Microsoft Fabric. ✅ Every engagement includes Medallion Architecture design, full test coverage, CI/CD for data models, data lineage tracking, and documentation that outlasts the project. ✅ I design data pipelines for both batch processing and real-time analytics, idempotent, schema-drift tolerant, and monitored through data observability frameworks, so failures are caught before they reach your stakeholders. ✅ Warehouse models are built to serve the business: Star Schema, dimensional modeling, dbt projects, analytics engineering best practices, and a metrics layer backed by a data catalog and metadata management. ✅ I architect distributed systems for big data and streaming analytics, including Kafka, Flink, Spark Structured Streaming, exactly-once semantics, dead-letter queues, and end-to-end latency guarantees. ✅ AI data pipelines are engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ✅ I bring governance to data platforms through data mesh, data catalog implementation, metadata management, and data integration across systems. ✅ Data quality and data reliability are enforced end to end, with automated frameworks, SLA monitoring, auditable lineage, and observability that catches bad data before it reaches your stakeholders. ✅ I build AI-ready data infrastructure and lakehouse foundations, Delta Lake, Apache Iceberg, cloud data architecture, and CDC pipelines for near-real-time sync. ✅ Cloud data migration is handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime. -------------------------- What I Build With: 🗄️ Warehouses, Lakehouses & Data Lakes: Snowflake, BigQuery, Redshift, Databricks, Microsoft Fabric, Delta Lake, Iceberg ⚙️ Transformation: dbt (Core & Cloud), SQLMesh, Spark, PySpark, Star Schema, Medallion Architecture 🔁 Orchestration: Airflow, Dagster, Prefect, Azure Data Factory, Microsoft Fabric 📨 Streaming: Kafka, Kinesis, Pub/Sub, Flink, Fabric Eventstream 🔗 Ingestion: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, CDC pipelines ☁️ Cloud: AWS, GCP, Azure 🐍 Languages: Python, SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) 🗃️ Databases: PostgreSQL, MySQL, SQL Server, DynamoDB, MongoDB 📊 BI & Reporting: Looker, Tableau, Power BI, Metabase, Superset -------------------------- 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 ⭐ "Adarsh built our entire data platform from the ground up. Clean architecture, solid dbt models, and Airflow pipelines that have been running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Marcus, Director of Data Engineering, E-commerce Startup ⭐ "We came to Adarsh with a Spark pipeline that was costing us a fortune and delivering stale data. He diagnosed the bottlenecks, restructured the job logic, and cut our processing time by 70%. Technically sharp, communicates clearly, and delivers without hand-holding." – Leo, Head of Analytics, HealthTech SaaS -------------------------- 🚀 Let's Build Your Data Foundation 📩 If your data infrastructure needs to be faster, cleaner, and something your team can trust, send a quick message about your project and I'll take it from there.

Senior Data Engineer & Analytics Professional (7+ years) Built high-performance data systems at Shiprocket—from real-time logistics pipelines (Kafka, Flink, Pinot, Superset, PostgreSQL) to executive dashboards (Power BI, advanced Excel). I handle complete lifecycles: data architecture, SQL analysis, visualization, and process optimization. Expertise across: • Real-time pipelines and big data processing • SQL analytics + Power BI/Excel dashboards • Operations KPIs, root-cause analysis, performance tracking • Cloud platforms (AWS/GCP) and team mentoring via Zoom Whether you're scaling data infrastructure or need actionable business insights, I deliver clarity and results. Strong communicator, 3hr/day M-Fri availability.