AWS-focused data engineer with 10+ years building and automating large-scale big-data systems. I design the pipelines that move and process data reliably — batch or streaming — and the cloud platforms they run on. My core stack is Hadoop, Spark, Hive, and data warehousing, paired with deep AWS expertise and four AWS certifications: Solutions Architect (Associate and Professional), Developer (Associate), and Big Data (Specialty). How I help clients: • Design and automate scheduled batch and streaming pipelines end to end, with Python for tooling and glue. • Lead cloud migrations and integrations — moving existing systems into AWS, or wiring them to it cleanly. • Ship containerized and streaming workloads on Docker and Kubernetes. Platform engineering is my specialty. I build internal developer platforms — a clean, self-service overlay on top of cloud and Kubernetes APIs — so your engineers ship faster without fighting the infrastructure underneath. Tell me what you're building, and I'll help you get it running reliably in the cloud.

Senior Platform Engineer with solid hands-on experience in designing, scaling, and securing cloud-native platforms, GPU-accelerated AI infrastructure, and Agentic AI workloads within highly regulated industries (finance, telcom, government). Deep expertise in architecting and operating large-scale Kubernetes clusters, implementing GitOps (Argo CD/Flux), Service Mesh and Infrastructure as Code (IaC) pipelines, hardening the Kubernetes software supply chain and enforcing robust zero-trust security posture across multi-cloud and on-premise environments. Key Qualifications: ● 10+ years architecting and automating multi-cloud (AWS/Azure/GCP) infrastructures via IaC (Terraform). Orchestrates large-scale Kubernetes clusters, GPU/HPC, and AI inference pipelines with zero-downtime migrations, multi-region scalability, and full auditability. ● Experience in building production Kubernetes Operators using Kubebuilder to automate complex application lifecycles, including self-healing, scaling, backups, and zero-downtime upgrades for AI/ML and multi-cloud workloads. ● Extensive experience enhancing security for Kubernetes clusters across AKS, EKS, GKE, and OpenShift. Proficient in leveraging Istio, Kyverno, OPA, Hubble, Falco, and Cilium Tetragon to implement robust security policies and controls. ● Expertise in building and scaling secure, GitOps-driven Agentic AI workloads and MCP-enabled Agentic Harness environments, delivering autonomous, context-aware multi-agent systems with declarative IaC, intelligent orchestration, secure tool integration, and reliable execution at enterprise scale. ● Built Agent Harness, an Agentic AI system using autonomous agents to detect, diagnose, and resolve common Kubernetes issues, achieving 40% faster automated resolution with built-in human-grade oversight ● Proven expertise in managing large-scale GPU clusters on Kubernetes, implementing advanced workload scheduling, and optimizing inference infrastructure for large-scale AI applications. ● Designed and operated high-performance inference clusters powered by H100 NVL, MI300X, and GB200 GPUs, achieving sub-180 ms P99 latency while serving over one million daily active users for Character.AI. * Extensive hands-on experience with the NVIDIA (TensorRT-LLM, Triton, vLLM, SGLang, MIG, GPUDirect, InfiniBand NDR/XDR) and AMD ROCm 6.x ecosystems within secure and regulated environments. ● Architected GitOps-first, zero-trust Kubernetes platforms leveraging ArgoCD, Cilium Tetragon, Kyverno, Istio Ambient, and Karpenter—powering frontier AI research labs and national laboratory workloads. ● Led the development of 01cloud, a cloud-agnostic PaaS built on Kubernetes to streamline deployment of cloud-native applications across managed and on-premises infrastructure. Automated large-scale GPU clusters for LLM training and inference with full multi-cloud portability. ● Developed custom Kubernetes Operators to automate containerized application lifecycle management, improving operational efficiency and reducing manual intervention. ● Over seven years of experience authoring Infrastructure-as-Code (IaC) using Terraform, and managing complex deployments via Terraform Enterprise, Pulumi, AWS CDK, and Chef. ● Enhanced Kubernetes cluster security across AKS, EKS, GKE, and OpenShift by implementing comprehensive policy enforcement and observability through Kyverno, OPA, Istio, Hubble, Falco, and Cilium Tetragon. ● Implemented Kubernetes Security Posture Management (KSPM) to ensure best-practice adherence, conduct vulnerability assessments, and maintain compliance with PCI, SOC2, HIPAA, NIST, and GDPR standards. ● Developed reactive, resilient, and message-driven microservices using Golang, Java, and Rust. Deployed distributed API gateway and networking workloads with Apigee, Kong, Ambassador, and Istio. ● Proficient in Spark, Kubeflow, and MLflow for large-scale data and ML pipeline orchestration. Experienced with distributed file systems (GlusterFS, Lustre, Ceph) and NoSQL/datastore technologies including HBase, Cassandra, Redis, MongoDB, Zookeeper, etcd, Confd, Elasticsearch, Kafka, and ClickHouse. ● Familiar with the modern Big Data ecosystem, including AWS EMR, Glue, Hadoop, Pig, Hive, Spark, Flink, and Airflow.

I am a versatile and driven tech professional with deep expertise in data engineering and a strong background in web and app development. With extensive experience across industries, I excel in transforming raw data into actionable insights and building innovative solutions that drive business success. Whether it’s leveraging PySpark for complex data transformations or designing responsive web applications, I am committed to delivering high-quality results and solving complex challenges. Key Skills: Data Engineering: ✅ PySpark & Hadoop ✅ Hive & SQL ✅ AWS & Cloud Technologies ✅ ETL Process Development ✅ Data Pipeline Optimization Web Development: ✅ Responsive Web Applications ✅ User-Friendly Interface Design ✅ Full-Stack Development (HTML, CSS, JS, React, Express, Node.js) App Development: ✅ Flutter & Firebase ✅ Cross-Platform Solutions ✅ API Integration Let’s connect to explore how I can help elevate your next data-driven or development project!

A very Good Morning/ Good Evening to all, My name is Atul Tyagi and I am expert in Python, Big Data, Artificial Intelligence with work experience of more than 12 years I am the best fit for all the work I have mentioned. I have done a lot of work in Scraping, Research, SQL, Programming, Rubidium, Bootstrap, Email generation, Validation. I have also Worked with Google API, Facebook API. I am Well versed with Python Programming, My SQL Programming, PHP, etc. Other Speciality Website design Front-end development UX optimization Wordpress customization Managed hosting Fully project managed Web development PPC SEO Social Media Hands-on expertise on technologies:- Hadoop, Yarn, Hive, Bootstrap, Zookeeper, Storm, RabbitMQ, Kafka, Cassandra, HBase, NIFI, Java EE, Oracle SQL/Pl-SQL, MySql, Jquery. Over the years, we have designed and developed websites that not only look good but at the same time perform great too. We focus on creating contemporary designs taking into account the latest trends and technologies that help your business thrive online. We immensely focus on clean coding that is SEO friendly so that your website can crawl up the index of major search engines easily to get found by your targeted visitors. We build responsive websites, i.e. the websites are device independent and can function equally and perfectly on mobile phones, tablets as well as desktops. Our Small Business Website Design has helped several small business owners boost their online presence and increase their sales. We have also built several numbers of complex and high-end web applications for SMEs and Corporates. Apart from this, I have also learned a number of bioinformatics techniques primarily involving machine-learning algorithms (Support Vector Machine, Weka, Deep Neural Networks, Machine Learning Artificial Neural Network, etc). I am quick learner and very reliable to work with.

Since 2016, I've been supporting IT infrastructure (PC Desktop, System, Network and also, Linux or Unix systems). ✓ Skillful System Engineer and Unix Admin with rich experience in the setup of servers, their support, security, audit, scaling. I have more than 6 years experience in web hosting and cloud technologies ✓ Technology executive specializing in architecting and implementing highly scalable solutions to drive brand awareness, increase revenues, optimize productivity and improve margins. ✓ Overseeing the data, security, maintenance, and network for a company. ✓ Implementing the businesses’ technical strategy and managing the overall technology roadmap of the business. ✓ involved with talent acquisition and its onboarding, training, and management of Project Manager, product Manager, Developers, Devops, Designers. ✓ Setting the technical strategy for the company to enable it to achieve its goals. ✓ Seeking out the current and future technology that will drive the company’s success. ✓ Focus on strategic alignment of technology goals to organizational vision. ✓ Passionately committed to technology team development, empowering people to accomplish their goals and coaching them realize their individual potential. ✓ Proven track-record of success in technology product development, cloud infrastructure,Building Data Platforms, ETL Pipelines, Streaming Pipelines ,e-commerce, CRM ,mobile strategy, and social media integration. I am working from last 8 years with Apache Spark, Lucene, ElasticSeach/Kibana, Amazon EC2.RDBM's(SQL, MySQL, Aurora, PSQL, Oracle), NoSQL engines (Hadoop/HBase, Cassandra,DynamoDB, MongoDB),GraphDB(Neo4j, Neptune) in-memory databases (Hazelcast, GridGain), Apache Spark/MLib, Weka, Kafka, clustered file systems, general-purpose computing on GPU. Deploying the ML DL Models on GPU Instances(Nvidia). Have a great experience in query optimization, application profiling, and troubleshooting. My area of expertise includes: - Python script - Jira,Trello,Azure DevOps - Web scraping - AWS(Redshift, Glue, ECS, EC2, EMR, Kinesis, S3, RDS, VPC, IAM,DMS) - GCP(Big Query, DataFlow, SnowFlow) - Microsoft Azure - Hadoop Big Data - Elasticsearch/Kibana/Logtash(ELK) - Hadoop setup on standalone, Cloudera, and HortonWorks. - SQL like MySQL PostgreSQL - NoSql Database like Hbase and MongoDB - Machine learning - Deep Learning - Spark with Mlib,GraphX - Sphinx - Memcache - MS BI/Tableau/GDS Expert Level (Web Hosting for Linux) -- Cloud Servers(AWS EC2, Linode and Digital Ocean) Linux(Ubuntu, Debian, CentOS) Web and Load Balancer(Apache and Nginx) FTP (Vsftpd) DB (MySQL) PHP (PHP, PHPMyAdmin, PHP-fpm) Web Cache(Varnish) File Server Sharing(Samba) Firewall(Shorewall(IPtables) and DDOS protection(Fail2ban)) DNS(Bind) and Domain Registration Shell Scripting(Bash, Korn, and Bourne) Automatic Schedule(Cronjob) VPN(PPTP) Mail(Postfix, Dovecot, Squirrelmail) Monitoring(Nagios and Centreon, Cacti, MRTG, Icinga) SSL(LetsEncrypt, Namecheap, and Godaddy) Troubleshooting (Critical Thinking and Problem Solving) Docker K8s Vagrant Terraform Cloud formations

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

I'm a Senior Java & Backend Engineer with 12+ years of experience building scalable, enterprise-grade systems — and the creator of VoxSetu, a live AI Voice Calling Platform trusted by enterprises across BFSI, Healthcare, Logistics, and Retail. What I specialize in: AI Voice Agents & Conversational AI — building intelligent, human-like calling systems with LLM integration, NLP, speech recognition, and real-time call flows Java / Spring Boot / Microservices — high-performance backend architecture at enterprise scale System Integrations — CRM, ERP, APIs, Kafka, Elasticsearch, and third-party telephony platforms Real-Time Analytics — dashboards, monitoring pipelines, and performance insights Having built a production AI Voice product myself, I understand both the technical depth and the business requirements that enterprise clients need — not just code, but solutions that actually work at scale and deliver measurable results. My recent work includes: VoxSetu — AI voice platform with multi-turn conversations, intent detection, CRM integrations, and real-time analytics. Trusted by Techlene, FabHR, NSS, and A2Z Packaging. ReactJS & Java microservices for enterprise platforms Kafka-based event streaming for high-throughput systems Spring Boot APIs integrated with Elasticsearch for full-text search at scale Whether you need an AI voice agent, a conversational AI system, or a robust Java backend — I bring real product-building experience to every engagement. Let's build something great together.

Enterprise Data Architect & Lead Data Engineer | Databricks, Azure & AWS Expert Are you looking to migrate complex legacy data systems, slash spiraling cloud compute costs, or build a secure, production-grade Data Lakehouse that actually scales? With over 16 years of hands-on experience architecting and building end-to-end big data platforms across Azure, AWS, GCP, and Databricks, I bridge the gap between high-level business strategy and rock-solid data infrastructure. I specialize in replacing fragile, hard-coded pipelines with resilient, metadata-driven automated frameworks that minimize operational overhead and deliver clean, trusted data. Whether you need a full-scale cloud migration, strict enterprise data governance, or fully automated continuous integration and continuous delivery (CI/CD) pipelines, I design architectures built for performance, security, and true business self-service. What I Bring to Your Project: End-to-End Lakehouse Architecture: Expert in migrating legacy EDWs (SQL Server, Oracle, Teradata) to multi-cloud Databricks environments. Deeply specialized in implementing robust Medallion Architectures (Bronze, Silver, Gold) using Delta Live Tables (DLT) and Auto Loader to streamline streaming and batch processing. Metadata-Driven Automation: I don't just write pipelines; I build automated ingestion engines. I design custom metadata-driven JDBC and API frameworks that can seamlessly ingest from dozens of disparate systems (SQL Server, Postgres, Oracle, InfluxDB, file-based SFTP, and telemetry APIs) without requiring code modifications for new sources. Enterprise Governance & Security: Enforcing absolute data compliance and security. I implement robust access controls, dynamic data masking, and row/column-level security using Unity Catalog across complex multi-workspace environments. Data DevOps & Infrastructure as Code (IaC): Specializing in the modern deployment stack for data. I build automated multi-environment CI/CD deployment pipelines using GitLab/GitHub CI/CD, Terraform, and Databricks Asset Bundles (DABs) to ensure zero-downtime production releases. Business Enablement: Turning data lakes into active business assets by setting up self-service analytics frameworks, specialized Metric Views, high-performance dashboards, and AI-driven data exploration interfaces (such as Genie Spaces/Agents). Core Technical Expertise Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure Data & AI Platforms: Databricks, Delta Lake, Delta Live Tables (DLT), Unity Catalog, AWS Glue Languages & Frameworks: PySpark, SQL, Python, Scala, Spark SQL Core DevOps & Orchestration: Databricks Asset Bundles (DABs), Terraform, GitLab CI/CD, GitHub Actions Data Sources: SQL Server, Oracle, PostgreSQL, InfluxDB, REST APIs, JSON/Parquet/Avro SFTP shares

Professional Summary: I specialize in Data Engineering and Analytics, with hands-on experience in designing and implementing scalable data processing pipelines using Apache Spark, Hadoop, and the broader Big Data ecosystem. My core strength lies in transforming raw, high-volume data into actionable insights through a blend of distributed computing, data science, and real-time analytics. I have developed and optimized batch and streaming data pipelines using Spark (Scala and Spark SQL), with performance benchmarking against Hive and traditional RDBMS systems. My work spans structured and semi-structured data formats such as JSON, Avro, and XML, integrated into platforms like Hive, Cassandra, and HDFS for downstream processing. On the data science front, I have applied machine learning models to solve predictive and classification problems using libraries like MLlib and Scikit-learn. This includes end-to-end workflows for feature engineering, model training, evaluation, and deployment within Spark or Kafka pipelines for real-time inference. My analytics background includes statistical analysis, trend detection, and the creation of data visualizations to support strategic business decisions. I am proficient in Python, SQL, and modern BI tools, with a strong emphasis on data quality, reproducibility, and scalability. Overall, I bridge the gap between data engineering and data science—building robust data foundations and delivering insights that drive innovation and business value through advanced analytics and machine learning. I have developed and optimized batch and streaming data pipelines using Spark (Scala and Spark SQL), with performance benchmarking against Hive and traditional RDBMS systems. My work spans structured and semi-structured data formats such as JSON, Avro, and XML, integrated into platforms like Hive, Cassandra, and HDFS for downstream processing. On the data science front, I have applied machine learning models to solve predictive and classification problems using libraries like MLlib and Scikit-learn. This includes end-to-end workflows for feature engineering, model training, evaluation, and deployment within Spark or Kafka pipelines for real-time inference. My analytics background includes statistical analysis, trend detection, and the creation of data visualizations to support strategic business decisions. I am proficient in Python, SQL, and modern BI tools, with a strong emphasis on data quality, reproducibility, and scalability. Overall, I bridge the gap between data engineering and data science—building robust data foundations and delivering insights that drive innovation and business value through advanced analytics and machine learning.

I am highly dedicated to achieving professional excellence, career progression and personal development by working in a learning environment that encourages growth and enriches experiences. Key data integration capabilities: * Access, cleanse, transform and blend data from any data source * Create complex datasets with no coding required to drive downstream processes (Talend) * Improve ad-hoc analysis requests to answer business questions faster Specialties: Big Data Ecosystems: HDFS, HBase, Hive and Talend Databases – Oracle, Postgres, MySql Data Warehouse concepts ETL-Tools – Talend Data Integration Suite / Talend Open Studio / Talend ESB API Integration : Salesforce/Zoho/ Google freebase/Google Adwords/Google Analytics/Marketo Programming – Java, SQL, HTML, Unix Reporting Tools - Yellowfin BI, Tableau, Power BI, SAP BO I am an expert in creating an ETL data flow in Talend Studio using best design patterns and practices to Integrate data from multiple data sources and I have a good understanding of the Java programming language to build Talend routines to extend its inbuilt functionality. I will be happy to show you a demo of the existing Talend jobs or you can share a sample requirement to have confidence on my services.