Hire the Best Informatica Cloud Developers
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.

I have 27 years of IT Experience with Data Extraction. I pride my self in my ability to methodically gather interpret and understand your requirements and develop intuitive and creative Business Intelligence solutions using the full MSBI stack (SSRS , SSIS, SSAS) plus Informatica and SAP BODS. I have expert level ability with Data Extraction, Transformation and Loading (ETL) from numerous heterogeneous data sources. An Expert Business Intelligence Developer with extensive knowledge of multiple database(MSSQL, ORACLE, MySQL, DB2, Sybase, Interbase, Dbase, Btrieve, Excel & NoSQL) concepts , structures and design for variety of ETL / BI. My approach to report writing ensures that reports are crisp, clear and fuss free, allowing the user to gain insight at a glance. I have Planned, Managed, Designed Architected, Implemented and supported mission critical (100+) Systems / Apps & ERP integration(s) between various (100+) different systems based on [SAP, Oracle Retail (RPAS , RMS, ReSA, ReIM, RPM, RMA, ORPOS), EBS [Order Management, iSupplier Portal, Inventory Management, WMS]. Epicor, Scala, Modaqiq, Orion] (ERP), [Focus, Peachtree, Quick books] (Accounting) , Facs (Forex Transactional plus Accounting), Afsys (Freight Forwarding & Accounting) , [VoIP switch, Asterisks] (Telecom) , [Retail Pro, MRMS] (POS/Retail), [Manhattan Associates, Red Prairie, Exceed] (Supply Chain Execution System), [Qlik, Hadoop, IaaS, PaaS, Saas, IBM Cognos, Tableau, Crystal Reports (SAP Business Objects), Dev-Express] (Business Intelligence) , Custom build softwares and others. Experienced Consultant having solid software development experience (VB , Java ADF, Scala, C,C++,C#, .Net,MT4, ASP, Visual Studio, Delphi, Python, R, My SQL, MS SQL, Hadoop, Spark, Oracle IaaS, PaaS, Saas, Oracle SOA / PL SQL [Fusion Middle Ware], OBIEE, Share Point, SSIS, Informatica, SAP BODS IBM Cognos, Tableau, Qlik), AWS, Azure, Google Cloud Platform, Oracle Cloud, IBM Power AI, with complete knowledge of project management life cycle right from Initiating, Planning, Executing, Monitoring, Controlling and Closing of projects. I have experience of complete life cycle of software development from Defining, Designing, Coding, Testing, Implementing and Managing. High-performing information-technology professional with 18 plus years of experience in project lifecycle management from conception to completion. Deep understanding of Machine learning algorithms such as regression, clustering , classification scoring, co-occurrence, profiling, link prediction, data reduction, casual modelling i.e. all facets of supervised and unsupervised learning. Hands on web scraping, data-plumbing, integrating disparate systems for data analysis or ML / AI applications. Helped increase 15% in Customer Support Agent productivity Helped client with segmenting 80 million records of unstructured customer data into buyer persona. Which increased the success rate of marketing campaigns. Identified customer requirements and filled product gaps and generated ideas that increased the market share and improved customer processes. TECHNICAL SKILLS • Operating Systems: Windows, UNIX, Linux, Docker. • BI Tools: Tableau, Power BI, Business Intelligence / SSRS / Crystal Reports (SAPBO) / Cognos / OBIE / Qlik / Bryce • ETL Tools: DTS/ SSIS / SPBODS / Informatica Power Center/BDM 9.x/10.x (Designer, Workflow Manager, Workflow Monitor, Repository Manager and Informatica Server) and Informatica Data Quality (IDQ) • Data Warehouse: Star Schema, Snowflake schema. • Data Modeling Tool: Microsoft Visio, Django ORM, Oracle ADF • Databases: SQL Server (6,7,2000 - 2012), Oracle (6,7,8,9i,10g,11g, 12c), DB2, MySQL, Interbase, Sybase, Dbase, SQLite, PostgreSQL, MongoDB. • Programming: Powershell Scripts, SQL, PL/SQL, PLSQL, C++, C#, Java, VB, VB.Net, MT4, Delphi, Python, Colab, Jupyter Notebook, Django, R, OOPS, Asp.NET, HTML, CI/CD, Kubernetes. • Frameworks: .Net, Django, ADF • Statistics / AI: Inference Methods (Chi-square/T-test), P-Value, Regression, Factor Analysis, Logistic Regression, NLP, OpenCV, YOLO, CUDA, TensorFlow, Keras, Scikit, Numpy, Pandas, Decision Trees, Cluster (K-Means/ Hierarchical), Forecasting, and Time Series Analysis.

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!

Client Review: "Outstanding professional with exceptional expertise in Data Migration, ETL, ADF, and PySpark. Delivered complex tasks with precision, efficiency, and deep technical understanding. Excellent problem-solving skills, clear communication, and a proactive approach made the project seamless. Highly recommended for any data engineering or migration projects." Who am I? I am a Databricks & Microsoft Certified Data Engineer with over 7+ years of experience in Big Data, Cloud Technologies, and Data Engineering. Over the past few years, I have worked on diverse data projects, optimizing pipelines, improving query performance, and architecting scalable solutions. Technical Proficiencies: • Programming Languages: Python, SQL, C, C++ • Big Data Platforms: Spark, Databricks, Fabric Synapse, ADF, ADLS, Hadoop • Data Analysis Tools: Pandas, NumPy, Scikit-learn, Power BI • Others: Azure Key vault, Logic App, Azure Active Directory, Open AI 🔹 What I Can Do for You: ✅ Data Engineering & Big Data Solutions – Implement end-to-end ETL/ELT pipelines using Fabric, DBT, Synapse, Spark, Hadoop, Hive, Azure Data Factory, and Databricks. ✅ Cloud Data Solutions – Migrate and optimize databases from On-Prem SQL Servers & Oracle to Azure ✅ Data Pipeline Optimization – Reduce execution time and enhance performance with optimized SQL, DBT, and Python-based transformations. ✅ Data Visualization & Reporting – Build insightful Power BI Dashboards to provide meaningful business analytics. ✅ Generative AI & Automation – Deploy AI-driven frameworks and automation solutions using Azure OpenAI, Prompt Engineering, and Python. 🔹 Why Work with Me? ✔ Microsoft Certified (DP700, DP-600, DP-203, DP-900, AZ-900) ✔ Databricks Certified Professional ✔ Hands-on experience with real-world enterprise projects ✔ Proven track record in performance optimization & automation ✔ Efficient problem solver with a keen eye for detail 100% REFUND POLICY: I'm committed to client satisfaction. If you’re not fully satisfied with the initial project deliverables, I offer a 100% refund within the first 7 days of the project start date. This policy ensures that you only pay for results that meet your expectations. Let’s discuss how I can help you streamline your data workflows and optimize your business processes. Looking forward to collaborating! 📩 Contact Me Today!

Data Engineering. - Microsoft Azure , Copilot Studio, Foundry, M365 Agents SDK = ETL/ELT Certifications Held Microsoft 365 Fundamentals (MS-900) Microsoft Certified: Azure AI Apps and Agents Developer Associate AI 103 HIPAA Cerification AI Engineering = Machine Learning, PySpark = API access to LLM / Self Hosted LLM - Microsoft Azure Foundry Legal Tech: AI assisted Case Research. Case Document Retrieval, Case Summarization, Case Citation Paralegal Legal Research : - US Federal Rule for Bankruptcy Procedure ( Ch 7, 11, 13) - US Corporate Law / Commercial Law / Contracts - Well versed with : - Google Scholar - justia - courtlistener - case.law ( Both manual and automatically integrated with tech stack) HIPAA Compliance: = Audit to determine PHI locations = Minimizing records with PHI = Audit Gaps in data security = Safeguard implementation = Procedures for Data breaches = Security Audit, Cybersecurity Microsoft Azure and Python Azure Data Warehouse Azure Data Factory Azure functions - Python Azure Data Bricks Core Technologies Python3, Pandas, PySpark, PyQt, PyTorch SQL MSSQL, Mysql , PostgreSQL, PrestoDB Django, Flask Git, Docker Extract Transform Load (ETL) ETL / ELT Tools : Talend, dbt, Airbyte, AWS Glue, Front End: Flutter ( with Flutterflow and Dart custom code) Data Visualization : Orange, Chartjs PowerBi, Metabase Data Integrations: Python : Python e-commerce API : Amazon Marketplace MWS API, Amazon seller central API, UPS, USPS, FEDEX API Integrations Python e-commerce : etsy API, ebay API, Shopify API, Aliexpress API, Flipkart API Python : Google Cloud Platform, Google HealthCare API Salesforce : Data Migration & Data Integration Salesforce Apex , Batch Apex, Scheduled Apex & Lightning Web Component Development Salesforce Certifications Held : Salesforce certified Administrator, Salesforce certified Developer , Zoho Creator Zoho API Integrations Domain Expertise: Health Tech Saas : HIPAA, HL7 EMR, EHR, APIs .

Database Development : ****************************************** Oracle Sql, Plsql, Data Export from Oracle DB to excel MSSQL PostgreSQL AWS Redshift, Glue, S3 GCP BigQuery Snowflake Oracle Forms(D2k) Expertise in Entities like : ------------------------------- Tables, Views, Sql Queries, All Types of JOINS, Cursor, Procedure, Function, Packages, Triggers, Collection, Bulk Collect, Analytical/Window Function, Dynamic Sqls, Pipelined Functions, Sql Loader, External Table, Hints, Bug Fixing , Debugging, Impact Analysis etc. DBA ************** * Having 10+years of experience as an Oracle, MICROSOFT SQL server and Golden Gate administrations in Banking, finance, Healthcare, Multimedia and currently working in Telecom domain. Working in 24x7 environments and providing support. * 6 +Month experience on AWS RDS and EC2 instances. Experience in RAC Implementation, maintenance of Clustered Databases, CRS upgrade, ASM implementation and maintenance. * Hands on knowledge of Golden gate replication and online Migrations tool. * Migration from 11g and 2c to 19c using DBUA Experience in installation & configuration oracle 10g, 11g, 12c and 19c RAC. * Implementation MICROSOFT SQL server 2008, 2012, 2014 and 2016 in development, test, and production environment. Always on replication. * Monitoring MSSLQL Server clustering, Log shipping, mirroring * Having dept knowledge about Oracle and MICROSOFT SQL server patching. * Tested and Implemented different physical and logical backup and recovery methods like point in time, Media recovery, RMAN and EXPDP and IMPDP utility. * Experience in designing Data guard solution and implementation and in managing physical standby. * Experience in monitoring and optimizing the Database performances through tuning using stats pack, AWR, ADDM, explain plan, Backup timings of databases. Having hands-on knowledge Oracle Table Partitions and Materialized Views. * Upgraded/ Migrated MICROSOFT SQL server Instances/Databases from older version MICROSOFT SQL server to new version of SQL Server. Apply SP (Service Pack)/ hot fixes on MSSQL server Instances to address security and upgraded related issues. * Performance Tuning and schedule jobs to automate different database related activities including backup, monitoring database health, disk space, and backup verification. * Extensive knowledge of oracle architecture SGA, PGA, Listener, tns names. * Developed Different Maintenance Plans for database monitoring. Setup Jobs, Maintenance plans for backups. Rebuilding indexes, check server health, alert, notifications Manual, on demand and setup jobs for Database Backup, and design backup strategy. * Experience in Mirroring and Log shipping and managing Standby Databases. * Creating File groups & managing File groups. Creating users and providing proper privileges for Database access. * Memory monitoring and optimizing the Database Performances through Tuning Explain Plan. Experience in Oracle RMAN backup (Full, incremental and cumulative) and recovery, Incomplete recovery and disaster recovery. * Experience in, Maintenance plans for backups, Rebuilding indexes, check server health, alert, notifications Manual, on Demand and setup jobs for Database Backup, and design backup strategy. * Hands-on experience in configuring MSSQL server and Windows system event log entries for warnings. Language : ********************* Python (Pandas, Numpy, Matplotlib, AI/ML, PySpark) Java (Java, Spring MVC, Spring boot, Microservices, Rest-api, React, Angular old version Javascript) ETL: Informatica,ODI **************** 1. Proficient in data integration and ETL processes using Informatica PowerCenter. 2. Extensive experience in designing, developing, and implementing ETL solutions with a focus on Informatica PowerCenter. 3. Demonstrated expertise in creating complex mappings, workflows, and transformations in Informatica PowerCenter to optimize data flow. 4.Proven track record of troubleshooting Informatica PowerCenter workflows. 5. In-depth knowledge of working with various databases and sources like oracle , terafata, flat files to extract, transform, and load data using Informatica PowerCenter. 6. Implemented and maintained data warehouses utilizing Informatica PowerCenter as a key component of the ETL architecture. 7. Proficient in utilizing Informatica PowerCenter for handling large volumes of data. Excel : ************* Advanced Excel Formula, Macro Data Visualization : ************************** Power BI, As a Trainer to Train in SQL Help Students in their SQL Assignments ####################################### Having over 14 Years of experience mainly as a Database Development Expert. Also having hands on experience in above mentioned skill set. Just give a faith for your development activities, I assure you will not be disappointed. Note : Pay after only the satisfaction of work only. Thanks DK Raju