Hire the Best Data Engineers in Bengaluru, IN

Senior GCP Data Engineer with 4 years at Accenture building production data platforms. I design and build BigQuery data warehouses, automated ETL/ELT pipelines, and real-time streaming with Kafka and Apache Flink - delivered as clean, documented, Terraform-managed infrastructure. Proof over promises: - Migrated SQL Server to BigQuery, cutting query latency by 35% - Automated ingestion from 5+ sources, cutting manual pipeline effort by 50% - Sustained 99.9% platform uptime on production workloads - Certified GCP Professional Data Engineer (May 2025) + GCP Generative AI Leader Core stack: BigQuery, Cloud Composer (Airflow), Pub/Sub, Cloud Functions, Kafka/Confluent, Apache Flink, Terraform, Azure DevOps, Python, SQL. I work in your environment, ship production-ready code with documentation, and communicate proactively. Let us build a data stack your team can actually maintain - message me to discuss your project.

⭐⭐⭐⭐⭐ 5.00 across 210+ Jobs AI RAG LLM AGENTIC AI, Vibe coding 🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 (𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁) 🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 (𝗣𝗟𝟯𝟬𝟬 💎 Top Rated PLUS, Trusted by 210+ clients, 11000 + 🅷🅾🆄🆁🆂 worked, )High-quality outcomes & your trusted companion for the long-term data journey. 12+ Yrs of immense ex 🏅 Top 1% of Tableau Developers 🏅 Top 1% of PowerBI Developers 🏅 Top 1% of Sigma computing Developers Open for a long-term opportunity 15+ years of immense experience in building 200+ solutions and implementing in QlikView Domo, Klipfolio, and Tableau, Power BI projects single-handedly. I also have sound knowledge of ETL, Datamining, data fetching, Oracle database, Google Analytics, Social media analytics. I am also Tableau sales accreditation certified and attended tableau basic and advanced paid training certification as well. I also have snowflake core certification, and also Klipfolio certified expert, please visit my certification section for more info. Skillset: ✅ Tableau ✅ Klipfolio ✅ Qlikview ✅ Domo ✅ Google data studio ✅ Sisense ✅ Looker ✅ Power BI ✅ Click data ✅ AWS Quick sight ✅ Google analytics ✅ Tealium ✅ Airtable ETL Tools: ✅ Azure DataFactory ✅ AWS Glue ✅ Alteryx ✅ Integromat/Make ✅ Knime ✅ Power Automate Databases: ✅ SQL Server ✅ Oracle ✅ Hadoop impala/hive ✅ Mongo DB ✅ Postgres Sql ✅ Snowflake/Amazaon RDS 💎 Top Rated PLUS | 🕐 Fast Turnaround 🌟WHY CHOOSE ME OVER OTHER FREELANCERS? 🌟 ✅ Client Reviews ✅ Communication ✅ Mastery 🟢 GO GREEN 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸🟢 Cloud: Azure (Data Factory, Synapse, Fabric), GCP (BigQuery, Dataflow), AWS Languages: Python, SQL, R, Scala, DAX, JavaScript Orchestration: Airflow, dbt, Prefect, Kafka, CI/CD, Git BI: Power BI, Looker Studio, Tableau, QlikView, Excel/Power Pivot AI/Automation: Clawdbot, Moltbolt, Openclaw, LangChain, n8n, Make, Zapier, Pinecone CERTIFICATIONS 🏅 Tableau Desktop Specialist Certified 🏅 Tealium Specialist Certified 🏅 Microsoft Certified: Power BI Data Analyst 🏅 Google Data Studio Certified 🏅 Alteryx Designer certified 🏅 Microsoft Certified Professional (MCP SQL) 🏅 Excel and Spreadsheets Expert 🏅 Zoho and Looker Expert 🏅 D365 CRM and SharePoint Expert 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗜'𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱: - Engineered ETL pipelines processing 50M+ events/day across GCP, Snowflake, and BigQuery - Delivered a $47K enterprise AI + web application rated elite by the client - Replaced manual reporting workflows saving teams 20+ hours per week - Scaled Power BI datasets from thousands to 10M+ rows without performance loss - Built AI document parsing systems handling enterprise-grade extraction and classification - Designed Snowflake data warehouses with optimized dimensional models for executive reporting 𝗣𝗶𝗹𝗹𝗮𝗿 𝟭: 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 ETL/ELT architecture, real-time ingestion, CDC patterns, incremental loads, and warehouse modeling. I work across Snowflake, BigQuery, Databricks, Azure Data Factory, dbt, Airflow, and Kafka. Clean data contracts, reliable refreshes, and systems your team can maintain. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟮: 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 (𝗔𝗟𝗟 𝗧𝗼𝗼𝗹𝘀) Power BI (semantic models, DAX, embedded analytics, Power BI Service, Fabric), Looker Studio, Tableau, QlikView, and Excel/Power Pivot. From KPI frameworks and dimensional modeling to real-time executive dashboards I build reports that are fast, accurate, and aligned to decisions. Performance tuning for slow or bloated reports is a core specialty. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟯: 𝗔𝗜, 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Production-grade LLM integration using Clawdbot, Moltbolt, Openclaw, LangChain, and RAG architectures. Custom AI agents with guardrails, human-in-the-loop controls, and monitoring for enterprise safety. Workflow automation through n8n, Make, Zapier, Langflow, Flowise, and SimStudio — connecting AI to your CRM, ticketing, email, Slack, and internal systems with role-based access and audit trails. Typical AI deployments: AI support agents, document intelligence pipelines, internal ops copilots, knowledge search with permissions, and intelligent lead qualification systems. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀: Healthcare (EHR, operational analytics, HIPAA-compliant reporting) Finance & Enterprise (P&L, KPI dashboards, multi-source consolidation) SaaS & Startups (product analytics, embedded BI, growth pipelines) 𝗠𝘆 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: Every engagement starts with a short audit current-state review, data access, KPI definitions, and a milestone delivery plan with clear timelines. Then we build in iteration cycles with hardening, documentation, and handover so your team owns the system when I'm done. I always leave things better than I found them. Proper data models, clean logic, version-controlled code, and documentation your team can actually work with. Have a project in mind? Click "Invite to Job" let's talk.

Most analytics setups look fine on the surface - until attribution breaks, funnel numbers don't add up, or your CDP is pushing dirty data downstream. That's where I come in. I'm a data architect with 20 years of engineering experience, the last 8+ years focused on product and marketing analytics. 50+ projects delivered for SaaS, eCommerce, healthcare, and fintech companies across the US and Europe. What sets me apart: I built a product analytics platform, as head of engineering. Most consultants have used these tools - I've built one. I know exactly what breaks under the hood and how to fix it fast. GA4 Certified | Segment Certified | Anthropic Partner | MBA, Vanderbilt University (US) WHAT I WORK ON: Server-side tracking: Server GTM, Stape, Meta CAPI, custom domain routing, first-party data collection, EMQ optimization, event deduplication - including regulated and compliance-sensitive environments Analytics implementation & migration: GA4, Amplitude, Mixpanel, PostHog, Heap - clean setups and messy migrations both CDP setup & optimization: Segment, Rudderstack, mParticle - identity resolution, reverse ETL, audience syncs, warehouse-first architectures Marketing attribution: multi-touch, ROAS, offline conversions, Meta CAPI, Google Enhanced Conversions, ad platform integrations Subscription & revenue analytics: Stripe data normalization, cohort churn, MRR/ARR modeling, cash flow projections Data pipelines & warehouses: BigQuery, Snowflake, Redshift, dbt, Fivetran, Airbyte Dashboards & visualization: Looker Enterprise, Looker Studio, Power BI AI & Automation: - Agentic workflows built on Claude (Anthropic) - intent parsing, classification, voice transcription, AI-generated reports - Slack-native AI bots: natural language commands, task creation, daily digest generation across projects - RAG systems grounded in your business data - CRM & RevOps automation: deal creation, payment reconciliation, subscription lifecycle, attribution mapping (HubSpot, Salesforce, GoHighLevel) - Workflow orchestration: n8n (self-hosted + cloud), Make Zapier - connecting Slack, Jira, Stripe, ad platforms, warehouses - Data automation: Python DAGs on Airflow, API enrichment, web scraping, browser-based RPA - AI data readiness: audits and cleanup before AI adoption PROOF POINTS: - Raised Meta CAPI event match quality from 6 to 8 for a DTC brand via server-side GTM on Stape - Managed end-to-end data pipeline for a 3+ year engagement including Amazon DMS, dbt, Redshift, and Airflow DAGs - Built analytics infrastructure scaling to 10B+ events/month - Managed attribution dashboards tracking $1M+/month ad spend - Normalized messy Stripe subscription data for a B2C startup with non-standard billing logic and built full churn cohort analysis - Cleaned up a 900-event Segment implementation for a YC-backed Series B startup - Built a Slack-to-Jira agentic automation suite using Claude for intent parsing and voice transcription - task capture from 60 seconds to 5 If your tracking is broken, your data is messy, or your stack needs to scale - let's talk.

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.

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.

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!