Hire the Best Snowflake Freelancers in Bengaluru, IN

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 | 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!

I help Retail, SaaS, Manufacturing, Healthcare, FinTech, and Construction/Engineering companies turn raw data into AI-driven decisions, predictive insights, and scalable analytics systems. Over the past 10 years, I’ve delivered data platforms, AI models, and BI solutions that have reduced inventory errors by 30%, improved forecast accuracy, lowered operational overhead, and enabled real-time decision-making for 50+ brands. Core Expertise 1. AI & Machine Learning Forecasting, Churn/LTV modeling, Pricing optimization, Underwriting risk models, NLP/LLM insights, Predictive maintenance. 2. BI & Decision Intelligence Power BI, Looker, Tableau dashboards; KPI frameworks; semantic modeling; executive reporting; self-service analytics. 3. Cloud Data Platforms & Architecture Snowflake, Redshift, BigQuery, Azure Fabric; DWH design; data lakes; scalable data modeling; performance optimization. 4. Data Engineering & Automation ETL/ELT pipelines, dbt, ADF, Airflow, API integrations, data quality frameworks, orchestration, CI/CD for data. 5. Strategic Analytics Consulting Roadmaps, architecture reviews, reporting frameworks, improving data maturity, identifying revenue/efficiency opportunities. Why Clients Choose Me • 10+ years experience across 6 global industries • Quantified business results from real-world implementations • Clear communication + fast execution • Ability to scale delivery via a small, specialized engineering & analytics team • AI-first approach to modernize analytics, reduce inefficiency, and unlock growth • Transparent documentation, clean architecture, and long-term maintainability If you need a partner—not just a freelancer—to architect, engineer, and deploy high-impact analytics or AI systems, I can help. Let’s build something that delivers measurable outcomes, not just dashboards. Ready to turn your data into a competitive advantage? Message me or invite me to your job posting — I respond within a few hours.

🎯 Results my clients achieve: → 60% reduction in data processing costs through optimized AWS Lambda and S3 implementations → Automated reporting systems saving 15+ hours weekly across teams → Seamless integration of multiple data sources into unified, reliable data warehouses → Enhanced data quality and governance with proven medallion architecture I specialize in building robust, scalable data solutions that transform business operations. My expertise spans: 🔄 Data Pipeline Engineering: - AWS Lambda-powered data pipelines processing 1GB+ daily data with medallion architecture - Multi-source ETL systems handling PostgreSQL, Snowflake, and BigQuery migrations - Healthcare data integration across 10+ states with automated PDF/Excel parsing - Large-scale YouTube analytics pipeline with geospatial processing - Real estate analytics system with automated data quality checks - Anime seasonal data collection pipeline using MyAnimeList API - Oil price prediction pipeline on AWS EC2 (r5.2xlarge) with PySpark 🛠️ Tech Stack Expertise: Cloud & Infrastructure: - AWS: Lambda, S3, CloudWatch, EC2, CLI - GCP: BigQuery, Cloud Storage - Infrastructure: Docker, Git, CI/CD Data Processing & Storage: - Frameworks: PySpark, Apache Airflow, Pandas, PyArrow - Databases: PostgreSQL, Snowflake, BigQuery, MySQL - Formats: Parquet, CSV, Hive partitioning, XML Analytics & Visualization: - BI Tools: Metabase, Apache Superset, Cluvio, Looker Studio - Libraries: Matplotlib, Seaborn, GeoPandas - Platforms: Amplitude, Google Analytics 4, Chartio AI & ML Integration: - LLM Implementation: Llama2, Langchain, OpenAI - ML Libraries: Scikit-learn, Facebook Prophet, XGBoost - Vector Stores: Pinecone, Hugging Face Embeddings Specializations: - Web Scraping: BeautifulSoup, Selenium, Custom Extractors - API Integration: RESTful APIs, OAuth 2.0, Webhooks - Data Quality: DBT transformations, Custom validation frameworks 🎓 Education & Certifications: - AWS Certified Data Engineer - Associate - Databricks Certified Data Engineer Associate - MS in Business Consulting (Germany) - MS in Big Data Analytics & AI (Russia) 💡 What sets me apart: 1. Proven track record with $30K+ earnings and 55+ successful projects 2. Perfect 5.0 client satisfaction rating 3. Experience across diverse industries (Real Estate, Healthcare, Legal) 4. Strong focus on cost optimization and efficiency 5. Clear communication and detailed documentation Ready to transform your data challenges into opportunities? Let's discuss how I can help optimize your data infrastructure and deliver actionable insights for your business. Let's turn our discussion into action. I can start immediately and deliver the quality results you're looking for.

I help brands build and automate their SAP, Veeva, Labware BI reporting and data pipelines—saving $300K+/year by delivering real-time insights via SQL, Python, Power BI/Tableau & Databricks. • Quality systems Dataset Expertise: SAP ECC technical data (QM, MM), Veeva Quality, Labware • Data Engineering & ETL: Python, PySpark, Databricks, dbt, Fivetran, • Cloud Data Warehousing: Snowflake, SQL Server, Google Cloud Functions • BI & Visualization: Power BI, Tableau, Looker (LookML), Advanced Excel (XLOOKUP, Power Query) • Data Automation & Alerts: Automated email delivery, scheduled Python jobs, Slack/SMS webhooks, make.com • Stakeholder Management: Engaging SVPs to roll out analytics to 300+ users globally Some accomplishments 1. Led an automated email feature (Python + Databricks) to deliver performance scores to 750+ Estée Lauder suppliers—saving $25K in manual distribution costs. 2. Built a Databricks ETL pipeline for Veeva Quality data (Python, PySpark, dbt), slashed data prep time by 80%, and realized $20K in annual savings. 3. Optimized SAP SQL queries to generate ad-hoc supply-chain reports (10M+ rows), enabling 300+ users to access real-time insights—prevented $200K in lost revenue by accelerating product releases. If you need a turnkey BI reporting, data-automation or ETL solution—whether building interactive dashboards, automating daily data alerts —invite me to your project. I’ll deliver a tailored proposal within 24 hours.

I'm a Professional Data Engineer with 5+ years of hands-on experience in retails and Healthcare projects. Built data pipelines using following technology Stack : Python AWS, GCP PySpark, Scala PostgreSQL, MySQL, Snowflake, Apache Airflow, Java Kafka, Hive

I have been working as a Data Engineer for 9 months. I am someone who is ready to learn and improve myself. I take ownership in the work I do. 1. I can create data models using DBT, 2. Coding and running DAGs in Airflow, 3. Using Snowflake as data warehouse, 4. Using PowerBI to create reports and visualisations for the data available in snowflake warehouse, 6. Data testing using Great Expectations tool. 7. I have good understanding of Azure and AWS data platform. 8. I have good understanding of Google and Microsoft office suite.