Hire the Best Apache Superset Developers in Chennai, IN

Skilled in Data Analytics, Data Visualization, Product Development, Data Analysis, and Extending Apache Superset & Qlik Sense. Strong consulting professional using Data to solve business problems.

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.

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

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.

🚀 GCP Certified Data Engineer | Google Cloud Platform | Python | SQL | Airflow | GCP workflows | Bigquery | DataForm | Power BI With a solid foundation in GCP (Google Cloud Platform) and a certification in Data Engineering, I bring a wealth of expertise to the table. As a Senior Data Engineer with ~5 years of industry experience, including working in both product-based and service-based companies, I excel in leveraging cutting-edge technology to deliver innovative solutions. 🔹 Skills Highlights: GCP Expertise: Proficient in leveraging the power of Google Cloud Platform for data engineering tasks, ensuring efficient and scalable solutions. Python & PySpark: Adept at harnessing the capabilities of Python and PySpark to manipulate and analyze large datasets, driving actionable insights. SQL Mastery: Experienced in crafting complex SQL queries and optimizing database performance for streamlined data operations. Airflow expertise: Experienced with Apache Airflow, building ETL pipelines, managing task dependencies, and deploying and monitoring workflows. Power BI & Alteryx: Skilled in creating visually compelling dashboards and automating workflows using Power BI and Alteryx, empowering stakeholders with actionable insights. Problem-Solving: Known for my analytical mindset and ability to tackle complex challenges head-on, I thrive in dynamic environments where innovative solutions are required

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.