Hire the Best Informatica Data Quality Freelancers
in India

• Having more than decade of work experience with data. • 11 plus years of strong work experience in Informatica tools. • Good experience in Powercenter, IICS, DEI/BDM, IDQ, EDC, Axon and CDGC. • Extensively worked with different data sources: non-relational sources such as delimited and fixed width flat files and relational sources like Oracle, Snowflake and Sales Force • Had Experience in Data Modeling using Star/Snowflake modeling, Fact and Dimension tables. • Good exposure in Data Warehousing concepts and creation of logical and physical models • Had knowledge on Kimball/Inmon methodologies. • Familiar with UNIX command and shell scripting.

Data Engineer | ETL Solutions | Database Optimization | SQL Performance Tuning 🔹 24 years of experience in building robust ETL solutions and optimizing databases for performance 🔹 Expertise in data migration from SQL Server to Databricks 🔹 Skilled in SQL query and stored procedure optimization for maximum efficiency 🔹 Proficient in ETL tools: Talend, Informatica, DataStage, Pentaho, Azure Data Factory, Databricks, and PLSQL 🔹 Full project management from design to deployment 🔹 Strong advocate for clear communication throughout the project lifecycle Let’s collaborate to streamline your data workflows and enhance system performance!

I am a Data Engineer with 6+ years of experience designing and building large-scale data pipelines and analytics platforms across finance, consulting, and enterprise domains. Currently working as a Sales Data Analytics Engineer at Russell Investments, I design and maintain high-performance data pipelines processing millions of records daily using Python, Pandas, Polars, Spark, and Snowflake. I have strong experience in building end-to-end ETL/ELT systems, optimizing SQL for sub-second query performance, and automating workflows using Apache Airflow and CI/CD. Previously at Cognizant, I built real-time and batch data platforms using Kafka, AWS Glue, S3, Snowflake, and Vertica, handling 10M+ records daily and achieving 99.9% pipeline reliability. I specialize in data modeling, performance tuning, cost optimization, and building production-grade analytics systems. Core expertise: • Data Warehousing: Snowflake, Vertica, SQL Server • ETL & Orchestration: Airflow, AWS Glue, Control-M • Big Data: Spark, Kafka, PySpark • Programming: Python, SQL (Advanced), Pandas, Polars, NumPy • Cloud: AWS (S3, Redshift, Glue), CI/CD, Git • Data Modeling & Optimization What clients get when working with me: ✔ Scalable, reliable data pipelines ✔ Optimized Snowflake & SQL performance ✔ Clean, production-ready Python code ✔ Automated workflows with monitoring ✔ Clear communication and on-time delivery I help startups and enterprises with: End-to-end data pipeline development Snowflake & cloud data warehouse design SQL performance tuning Real-time & batch ETL systems Data migration & modernization Analytics-ready data models

Microsoft Azure & Data Engineering I have extensive experience architecting and delivering production-ready data solutions within the Azure ecosystem and Microsoft Fabric. My background includes the end-to-end development of high-performance Lakehouse architectures, where I’ve utilized Fabric Pipelines and ADF to orchestrate complex data flows. I have a proven track record of provisioning secure infrastructure—from ADLS Gen2 to Azure SQL Databases—and building parameter-driven ingestion frameworks that handle diverse data sources. By integrating Logic Apps and WebHooks, I’ve successfully implemented automated monitoring systems that ensure 24/7 data availability and rapid incident response, providing a seamless flow from raw ingestion to analytics-ready Gold layers. Azure Databricks & Apache Spark I have a deep technical background in solving big data challenges using Azure Databricks and PySpark. I have successfully implemented Medallion Architectures (Bronze, Silver, Gold) to transform raw, unstructured data into optimized Delta tables for advanced analytics. By leveraging Analytical Functions and fine-tuning Spark cluster configurations, I have significantly reduced data processing windows for large-scale datasets. By optimizing cluster configurations and utilizing Analytical Functions, I significantly reduce processing windows and compute costs. I specialize in bridging the gap between raw data lakes and business intelligence, ensuring that data is partitioned, indexed, and optimized for downstream consumption. My focus is always on creating a high-performance "Single Source of Truth" that allows BI tools to pull insights with minimal latency. Informatica Intelligent Cloud Services (IICS) As an IICS Data Integration Specialist, I build high-concurrency ETL/ELT solutions that act as a bridge between diverse enterprise ecosystems. I have extensive experience developing complex mappings to extract high-volume data from Salesforce (SFDC), Oracle, and SQL Server, transforming it for delivery into Azure , AWS environments and Snowflake. My approach focuses on maximizing throughput and ensuring data integrity through advanced transformation logic, reusable mapping tasks, and standardized error-handling frameworks that support global business requirements. Informatica PowerCenter & Legacy Modernization With a deep background in Informatica PowerCenter, I specialize in the full SDLC of enterprise data warehousing, from star-schema design to production deployment. I have a proven track record of optimizing legacy workflows by re-engineering complex mappings and sessions using PL/SQL and Unix Shell Scripting for maximum efficiency. My core strength is modernizing these legacy footprints—moving global organizations from traditional on-premise ETL to agile, cloud-integrated architectures without interrupting business-critical operations. Multi-Cloud Data Engineering I have a proven track record of managing complex data ecosystems across Azure, AWS, and SaaS platforms (Salesforce/IICS). My approach is rooted in DataOps, where I automate the end-to-end orchestration of data pipelines to eliminate manual intervention and reduce human error. I have built resilient systems using configuration-driven triggers, cross-cloud authentication, and Unix scripting to ensure secure, seamless data flow between providers.

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.

👋 Hi, I’m Dharanish, a Senior Azure Data Engineer with 5+ years of hands-on experience delivering enterprise-grade data pipelines, cloud integrations, and BI solutions across Azure, AWS, and on-prem ecosystems. I help businesses build modern, automated data platforms using tools like Databricks, ADF, Synapse Analytics, and Power BI — transforming raw data into reliable, analytics-ready assets that drive smarter decisions and measurable results. ⚙️ Core Technical Expertise 1️⃣ Data Engineering & Architecture Architected Medallion Architecture (Bronze/Silver/Gold) using Databricks, Delta Lake, and Parquet for scalable, high-performance pipelines. Built ETL/ELT frameworks using Azure Data Factory, SSIS, Informatica, and Workato — integrating diverse data sources and automating end-to-end workflows. Designed batch and near-real-time pipelines using ADF, ADLS Gen2, and SQL Server, ensuring governance and lineage via Unity Catalog. 2️⃣ Programming & Data Transformation Expert in Python and PySpark for data transformation, schema validation, and performance tuning. Experienced in integrating Workato automation workflows for data movement, validation, and cross-platform triggers. 3️⃣ Cloud & DevOps Integration Skilled in Azure (ADF, Synapse, Logic Apps, Data Lake) and AWS (S3, RDS, EC2, IAM) for hybrid data architectures. Built and automated deployment pipelines using GitHub Actions and Azure DevOps CI/CD, ensuring reliable releases and rollback control. 4️⃣ Database & ETL Development Strong SQL, PL/SQL, and T-SQL expertise — query optimization, indexing, stored procedures. Developed and maintained SSIS and Informatica mappings for ETL workflows, implementing error handling, logging, and incremental load patterns. 5️⃣ Business Intelligence & Visualization Built Power BI dashboards and Excel-based analytics with DAX, drill-throughs, and KPIs for decision-making. Integrated Power BI with Azure Synapse and Databricks to create unified data visualization layers. 📊 🛠 Tech Stack & Tools ETL/ELT: Databricks | ADF | SSIS | Informatica | Workato | Synapse Analytics Programming: Python | PySpark | SQL | PL/SQL Cloud: Azure | AWS | ADLS Gen2 | Logic Apps BI & Visualization: Power BI | Excel | DAX | KPIs Testing: Postman | JMeter DevOps: GitHub | Azure DevOps | CI/CD | Agile | JIRA Other Tools: WordPress | PowerPoint | Excel Automation Thanks, DHARANISH S 🔹 Verified Rising Talent | 100% Job Success 📊 5-Star Power BI Deliverables | Azure Data Engineer