Hire the Best IBM DataPower Freelancers
in India

I'm a Senior Data Engineer with 4.5+ years of experience building scalable, cloud-native data platforms that turn raw data into reliable, business-ready insights. I've delivered enterprise solutions across banking (NAB), healthcare (Molina), and CPG (PepsiCo), specializing in end-to-end pipeline architecture, data modeling, and cloud migrations. What I bring to your project: 🔹 Cloud Data Engineering – Deep expertise in Azure (Databricks, Data Factory, Synapse) and AWS (EMR, Glue, S3, RedShift), with hands-on migration experience from on-prem and Teradata to cloud. 🔹 Pipeline Architecture & ETL – I design and build robust ingestion frameworks handling batch, incremental, and real-time data (Event Hub, Kafka) across formats like JSON, CSV, Parquet, and fixed-width files. 🔹 Data Modeling & Warehousing – Skilled in dimensional modeling, Data Vault, star/snowflake schemas, and silver/gold layer design. I've modeled 50+ tables across Oracle Fusion, SAP S/4, and healthcare domains. 🔹 Transformation & Orchestration – I translate complex business rules into DBT models, orchestrate workflows with Apache Airflow or AutoSys, and automate CI/CD via Jenkins and Azure DevOps. 🔹 Performance & Governance – I tune PostgreSQL and Spark jobs, implement data quality checks, reconciliation frameworks, and ensure compliance with data governance standards. 🔹 Generative AI & MLOps – Databricks-certified in Generative AI, with experience integrating MLflow for experiment tracking and building LLM-based automation using OpenAI and LangChain. Tech Stack: Python | SQL | Scala | Apache Spark | DBT | PostgreSQL | Snowflake | Airflow | Databricks | Azure | AWS | Git | Jenkins | MLflow | Power BI Certifications: Databricks Certified Data Engineer Professional | Azure Data Engineer (DP-203) | Snowflake SnowPro Core | Fabric Analytics Engineer (DP-600) | Generative AI Engineer Associate Whether you need a production-grade pipeline, a cloud migration, or a well-modeled data warehouse, I deliver clean, documented, and scalable solutions — on time and with clear communication. Let's discuss your project!

Most businesses are drowning in data but starving for insights - pipelines that break, dashboards nobody trusts, reports built manually in Excel. I fix that. 5+ years building enterprise data platforms: 800M+ records processed daily 70% pipeline runtime reduction via dbt 50+ Power BI dashboards delivered 98% data trust through quality frameworks Stack: Snowflake, Databricks, dbt, Airflow, PySpark, Microsoft Fabric, ADF, AWS, Azure, Power BI, Python Beyond the warehouse layer, I've also built production backend systems integrating third-party APIs — WhatsApp Cloud API, Supabase, webhook orchestration — deployed on cloud infrastructure. Available 8 AM - 2 PM IST. Open to short and long term projects. Let's talk.

Helping companies build scalable, reliable, and cost-efficient data platforms. I'm a Principal Data Engineer with 11+ years of experience designing and implementing modern data engineering solutions for startups, fintech companies, healthcare organizations, and enterprise businesses. I've helped organizations migrate legacy systems, build cloud-native data platforms, optimize processing costs, and deliver production-ready analytics pipelines. My expertise includes designing end-to-end data architectures, building batch and streaming pipelines, implementing Data Lakes and Lakehouses, and automating infrastructure using Infrastructure as Code. What I can help you with ✔ Databricks Development & Optimization ✔ Apache Spark (PySpark & Scala) ✔ Azure Data Factory (ADF) ✔ Azure Data Lake Storage (ADLS) ✔ Delta Lake & Delta Live Tables ✔ AWS (EMR, Glue, Athena, Lambda, S3) ✔ Data Warehouse Design ✔ ETL / ELT Pipelines ✔ Data Migration ✔ Data Modeling ✔ Terraform & Infrastructure Automation ✔ SQL Performance Optimization ✔ Python Development ✔ CI/CD for Data Platforms ✔ Airflow Workflow Automation ✔ AI-powered Workflow Automation (Cursor, Claude, MCP, n8n) Recent accomplishments • Reduced operational costs by 90% by redesigning SCD implementation using Delta Live Tables. • Led the architecture and delivery of financial products including Loans and Credit Cards. • Migrated enterprise data warehouses to cloud-native lakehouse architecture. • Built scalable reconciliation frameworks using Databricks and Airflow. • Implemented Terraform-managed Databricks infrastructure for improved governance and scalability. • Designed enterprise-grade data platforms for healthcare, fintech, and retail organizations. My Skills Sets are: SQL, Apache Spark, Hive, Hadoop, Excel, Shell Scripting, AWS EMR, Ec2, S3, cloud formation, Clojure, MongoDB MySQL, Airflow.

Thank you for visiting my profile. Hi, I'm Rohit Sharma — a Data Automation Engineer with 4+ years of experience designing and building scalable data pipelines, ETL systems, and cloud-based data platforms. I specialize in transforming raw, messy data into reliable, analytics-ready datasets that power business decisions. 🚀 What I Do ✔ Build end-to-end ETL/ELT pipelines using PySpark, SQL, and Python ✔ Migrate and modernize legacy data pipelines (Azure → GCP, on-prem → cloud) ✔ Design scalable data lake and warehouse architectures ✔ Implement CI/CD pipelines for data workflows (GitLab, dbt) ✔ Automate data ingestion from APIs, SFTP, email, and third-party systems ✔ Ensure data quality, validation, and monitoring in production pipelines 💼 Recent Work Highlights • Migrated legacy pipelines from Azure & Pentaho to GCP using Apache Spark, improving scalability and reducing costs • Built end-to-end batch pipelines to process multi-source data with high reliability and performance • Developed data synchronization between Unity Catalog and Hive Metastore for cross-platform data visibility • Implemented CI/CD workflows using GitLab and dbt for faster and safer deployments • Automated repetitive processes using Selenium-based RPA solutions 🛠 Tech Stack Languages: Python, SQL Big Data: Apache Spark, PySpark, Spark SQL Cloud: Azure (ADF, ADLS), Google Cloud (GCS, Dataproc, Composer), Databricks Tools: Airflow, dbt, Git, Azure DevOps Other: Web Scraping (Scrapy, Selenium, BeautifulSoup), REST APIs 💡 Why Work With Me? ✔ Strong experience in real-world production data systems ✔ Focus on performance, scalability, and clean architecture ✔ Reliable communication and quick turnaround ✔ Ability to understand business needs and translate them into data solutions Let’s connect and discuss how I can help you build efficient and scalable data solutions. “Let your dreams be bigger than your fears and your actions louder than your words.”

📊 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.

I’m a Senior Data Engineer with 9+ years of experience building scalable data platforms, automated ETL/ELT pipelines, and end-to-end analytics systems for startups to enterprise clients. I help organizations turn raw, messy data into clean, reliable, and analytics-ready datasets using modern cloud data stacks. What I Can Help You With ➤ ETL/ELT Development (Python, Airflow, AWS Glue, Talend) ➤ Cloud Data Engineering (AWS, Snowflake, Redshift, S3, Lambda) ➤ Data Warehouse Architecture & Optimization ➤ API Integrations (SaaS - Databases / Warehouses) ➤ SQL Development & Performance Tuning ➤ Dashboard/Data Model Preparation (Power BI, QuickSight, Tableau) ➤ Data Migration from CRMs/ERPs (Salesforce, HubSpot, Workday, Custom APIs) ➤ Automation of repeated data processes (Python + Cloud services) Why Clients Work With Me 🔹 Clear communication and structured delivery 🔹 Clean, audit-ready pipelines with proper logging & monitoring 🔹 Fast turnaround and long-term maintainable code 🔹 Experience across Healthcare, Finance, Retail, and SaaS domains My Recent Projects: ⭐CRM/ERP to Snowflake migration with automated Python pipelines ⭐AWS Data Platform modernization using Glue, Lambda, and Redshift ⭐Finance & Claims data processing using PySpark on AWS ⭐Custom API integrations to centralize business data ⭐Dashboard backend (SQL + models) for Power BI & QuickSight If you need ✔ Faster data pipelines ✔ A scalable cloud data architecture ✔ Clean data models for BI ✔ Help with Talend/Airflow/Snowflake ✔ A partner who delivers on time, every time I can help you. Send me a message, and let’s discuss your project.