Hire the Best Pyspark Developers
in India

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.

📊 Data drives every successful business decision. I help organizations design, build, and optimize modern data platforms that transform raw data into reliable business intelligence. 🚀 Whether you need to build a cloud-native data platform, migrate legacy systems, automate ETL pipelines, or deliver executive dashboards, I provide scalable, production-ready solutions that generate measurable business value. ⭐ With 5+ years of experience and a strong track record, I have partnered with startups, SMBs, and enterprise organizations to deliver high-quality data engineering and analytics solutions. 🔧 Core Expertise: ✅ Microsoft Fabric (OneLake, Data Factory, Lakehouse, Warehouse, Notebooks) ✅ Azure Data Engineering, Azure Databricks, Apache Spark, and Delta Lake ✅ Azure Data Factory (ADF) and Azure Synapse Analytics ✅ ETL and ELT Pipeline Development ✅ Data Warehousing and Data Modeling ✅ Data Integration and Data Migration ✅ Power BI Dashboards, Semantic Models, and DAX ✅ Python, SQL, PySpark, and Data Processing 💡 Services: ✅ Design and implement end-to-end data engineering solutions ✅ Build scalable ETL and ELT pipelines ✅ Develop enterprise data warehouses and Lakehouse architectures ✅ Integrate APIs, ERP, CRM, SQL databases, and cloud platforms ✅ Migrate legacy data platforms to Microsoft Fabric, Azure, and Databricks ✅ Implement data quality, validation, governance, and monitoring ✅ Create interactive Power BI dashboards and executive reports ✅ Optimize data platforms for performance, scalability, and cost efficiency 🛠️ Technologies: Microsoft Fabric, Microsoft Azure, Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Snowflake, BigQuery 💻 Programming: Python, SQL, PySpark, DAX 🗄️ Databases: SQL Server, PostgreSQL, MySQL 📈 Analytics: Power BI, Tableau, Looker Studio 🤝 Why Clients Choose Me: ✅ Strong focus on scalable, maintainable, and production-ready data solutions ✅ Extensive experience modernizing legacy data platforms ✅ Expertise across Data Engineering, Business Intelligence, and Cloud Analytics ✅ Clear communication and collaborative project delivery ✅ Proven track record of delivering high-quality solutions on time 📩 If you are looking for an experienced Azure Data Engineer, Microsoft Fabric Consultant, Databricks Engineer, Power BI Developer, or Data Engineering Specialist, I would be pleased to discuss your project.

🚀 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.

Slow, unreliable, or expensive data pipelines cost you time and money — and most teams don't realize how much until reporting breaks or cloud bills spike. I help companies fix that by building fast, well-architected data platforms on Snowflake. I'm a Snowflake Data Engineer with 8+ years in cloud data engineering, including 4+ years hands-on building production data platforms on Snowflake. SnowPro Certified, with deep expertise in Python, dbt, Airflow, and AWS — I design ELT pipelines and analytics platforms that are reliable, cost-optimized, and built to scale. My work spans the full lifecycle: designing warehouses and pipelines from scratch, migrating legacy systems onto Snowflake, and optimizing performance and cost on platforms that were already live — on more than one project, that optimization work meaningfully cut query times and warehouse spend for teams stuck on inefficient setups. I build the transformation and orchestration layers (dbt, Airflow) that make data reliably usable, backed by data quality checks so issues get caught before they reach a dashboard. Core Expertise ✅ Snowflake Data Warehouse Design & Implementation ✅ Python-Based Data Engineering & Automation ✅ ELT/ETL Pipeline Development ✅ dbt Development & Analytics Engineering ✅ Snowflake Performance & Cost Optimization ✅ Data Modeling (Star Schema & Dimensional Modeling) ✅ Apache Airflow Workflow Orchestration ✅ AWS Data Engineering Solutions ✅ Data Migration & Modernization ✅ Data Quality, Validation & Monitoring Whether you're implementing Snowflake for the first time, migrating from a legacy platform, optimizing an existing data warehouse, or building modern ELT pipelines, I can help deliver a scalable data platform that supports both current needs and future growth.

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!

Data warehouse developer with 11 years of experience in pyspark and SQL spark. Currently working as a Palantir foundry implementation specialist. Have worked on MSBI technology for building data warehouse and datamarts