Hire the Best TIBCO Spotfire Developers in Chennai, IN

Hello Fellow Entrepreneurs, I build data infrastructures ( Github github[.]com/cdevairakkam7/Tech-Stack )from scratch in less than 8 weeks that can handle millions of users. Data Science - I can query RDBMS and JSON data [ github[.]com/cdevairakkam7/SQL-Queries] . I have used all popular database engines like Snowflake, Redshift, Google Bigquery, Postgres, and so on. I have built dashboards in Mode Analytics, Chartio, Periscope data, and all other popular tools. Event Stream Data I have written the very first taxonomy doc to capture app events for multiple companies. I recommend noun + verb format while naming events. I am very good at getting discounts while buying new tools like Segment.com, mParticle, Braze, Iterable, and so on. Data engineering I can migrate data from GCP, AWS, and Azure at ease [ lnkd[.] dev/s3_to_postgres]. I use Apache Airflow and DBT to move and transform data. Digital Marketing - Anyone who invests a reasonable amount of money in ads should think about the multi-touch attribution of a user. Cross-device tracking is not complicated if you have the appropriate toolset and the right personnel. I have done online and offline marketing where the combined ad budget was $60,000 per day for a few months. CRO I perform A/B testing using state-of-the-art tools like Optimizely and VWO. I have a whole video series on youtube about it. Money-Back Guarantee If you don't like my work I will not take your money in the first place.

Seasoned data engineer with over 11 years of experience in building sophisticated and reliable ETL applications using Big Data and cloud stacks (Azure and AWS). TOP RATED PLUS . Collaborated with over 20 clients, accumulating more than 2000 hours on Upwork. 🏆 Expert in creating robust, scalable and cost-effective solutions using Big Data technologies for past 9 years. 🏆 The main areas of expertise are: 📍 Big data - Apache Spark, Spark Streaming, Hadoop, Kafka, Kafka Streams, Trino, HDFS, Hive, Solr, Airflow, Sqoop, NiFi, Flink 📍 AWS Cloud Services - AWS S3, AWS EC2, AWS Glue, AWS RedShift, AWS SQS, AWS RDS, AWS EMR 📍 Azure Cloud Services - Azure Data Factory, Azure Databricks, Azure HDInsights, Azure SQL 📍 Google Cloud Services - GCP DataProc 📍 Search Engine - Apache Solr 📍 NoSQL - HBase, Cassandra, MongoDB 📍 Platform - Data Warehousing, Data lake 📍 Visualization - Power BI 📍 Distributions - Cloudera 📍 DevOps - Jenkins 📍 Accelerators - Data Quality, Data Curation, Data Catalog

Experienced Data Professional with 11 years of experience building scalable, secure data platforms in healthcare and insurance, combined with an MSc in Data Science (Distinction). I specialise in delivering ML-ready data architectures that drive real business outcomes. 🔹 Reduced data processing costs by 40% through AWS optimisation 🔹 Automated 80% of reporting, cutting delivery from 48h to 6h 🔹 Led zero-downtime migrations for 250+ healthcare providers 🔹 Designed event-driven systems processing millions of claims daily Tech: AWS (Glue, Redshift, Athena, Lambda), Python, SQL, Spark, Databricks, dbt, Airflow Strengths: Data warehousing, Data platforms, feature engineering, regulatory-compliant systems

Senior Data Architect trusted by NASA, the UN, and Mayo Clinic. I design and build production-grade data platforms, real-time streaming pipelines, and scalable analytics solutions. From high-throughput ETL/ELT pipelines to enterprise-scale data lakes, I build secure foundations for modern business intelligence and AI agents with a flawless 100% Job Success rate. If you are looking for a basic SQL scriptwriter, I am not the right fit. I specialize in complex digital transformation, big data architecture, and cost-optimized cloud infrastructure built for enterprise-scale reliability. 🚀 PROVEN CREDIBILITY * Enterprise Portfolio: Trusted to architect mission-critical data ecosystems for NASA, the United Nations, GE, Alstom, Mayo Clinic, Kaiser Permanente, United Health, and Certainti.ai. * Flawless Performance: 100% Job Success Score with consistent 5-star validation from technical stakeholders and data leaders. * AI-Ready Infrastructure: Expert at structuring raw, fragmented data into highly optimized vector data stores and clean pipelines ready for enterprise AI deployment. 📊 ENTERPRISE DATA ENGINEERING SERVICES * End-to-End Data Platforms: Architectural design and execution of data warehouses, modern data lakes, and centralized lakehouses from MVP to production scale. * Robust ETL/ELT Pipelines: Designing automated, resilient, and optimized data movement workflows to eliminate data silos. * Real-Time Data Streaming: Deploying low-latency, real-time data ingestion and processing layers for instant business insights. 🛠️ TECHNICAL CORE & CLOUD ECOSYSTEM * Cloud Data Warehouses: Snowflake, AWS Redshift, Azure Synapse, Microsoft Fabric, OneLake. * Big Data & Streaming: Apache Spark, PySpark, Apache Kafka, Databricks. * BI & Analytics: Power BI, Tableau, advanced data modeling, and robust data governance frameworks. Let’s connect to discuss how we can optimize your data infrastructure for scale, speed, and AI readiness.

Senior Data Architect trusted by NASA, the UN, and Mayo Clinic. I design and build production-grade data platforms, real-time streaming pipelines, and scalable analytics solutions. From high-throughput ETL/ELT pipelines to enterprise-scale data lakes, I build secure foundations for modern business intelligence and AI agents with a flawless 100% Job Success rate. If you are looking for a basic SQL scriptwriter, I am not the right fit. I specialize in complex digital transformation, big data architecture, and cost-optimized cloud infrastructure built for enterprise-scale reliability. 🚀 PROVEN CREDIBILITY * Enterprise Portfolio: Trusted to architect mission-critical data ecosystems for NASA, the United Nations, GE, Alstom, Mayo Clinic, Kaiser Permanente, United Health, and Certainti.ai. * Flawless Performance: 100% Job Success Score with consistent 5-star validation from technical stakeholders and data leaders. * AI-Ready Infrastructure: Expert at structuring raw, fragmented data into highly optimized vector data stores and clean pipelines ready for enterprise AI deployment. 📊 ENTERPRISE DATA ENGINEERING SERVICES * End-to-End Data Platforms: Architectural design and execution of data warehouses, modern data lakes, and centralized lakehouses from MVP to production scale. * Robust ETL/ELT Pipelines: Designing automated, resilient, and optimized data movement workflows to eliminate data silos. * Real-Time Data Streaming: Deploying low-latency, real-time data ingestion and processing layers for instant business insights. 🛠️ TECHNICAL CORE & CLOUD ECOSYSTEM * Cloud Data Warehouses: Snowflake, AWS Redshift, Azure Synapse, Microsoft Fabric, OneLake. * Big Data & Streaming: Apache Spark, PySpark, Apache Kafka, Databricks. * BI & Analytics: Power BI, Tableau, advanced data modeling, and robust data governance frameworks. Let’s connect to discuss how we can optimize your data infrastructure for scale, speed, and AI readiness.

Overall 6 years of experience in IT industry with 4 years of relevant experience in Big Data Engineer, handling and transforming heterogeneous data into Key information using Hadoop ecosystem. - Expertise with the tools in Hadoop Ecosystem – HDFS, Hive , Sqoop, Spark, Kafka, Nifi. - Experience working with Elastic Search, Kibana and good knowledge on Oozie, Hbase, Phonix. - Good understanding of distributed systems, HDFS architecture, internal working details of MapReduce, Yarn and Spark processing frameworks. - More than two year of hands on experience using Spark framework with Scala. - Expertise in Inbound and Outbound (importing/exporting) data form/to traditional RDBMS using ApacheSQOOP. - Extensively worked on HiveQL, join operations, writing custom UDF’s and having good experience in optimizing Hive Queries. - Experience in data processing like collecting, aggregating, moving from various sources using Apache Nifi and Kafka. - Worked with various formats of files like delimited text files , JSON files, XML Files - Having basic knowledge on Amazon Web Services.