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Leads data integration development using Azure, Hadoop, Spark, Scala, Java, SQL, and relational databases. Responsibilities include data modeling, analytics, solution design, requirements analysis, development, maintenance, and quality delivery in an agile, client-focused environment. The role requires strong problem-solving, interpersonal, communication, and technical skills, along with adaptability, motivation, and the ability to learn quickly.

Designs, automates, configures, and deploys cloud infrastructure across AWS and Azure. Builds and manages CI/CD pipelines and release processes using Jenkins, Maven, Artifactory, Nexus, and Bitbucket. Administers Linux and Windows environments, creates Docker images, and manages scalable containerized workloads with Kubernetes, Terraform, and AWS services. Configures Azure networking, virtual machines, DNS, traffic management, and AKS clusters while prioritizing and completing tasks efficiently.

Leads hands-on data integration and engineering initiatives using Azure Databricks, Azure Data Factory, PySpark, Python, and SQL. Modernizes legacy on-premises systems into cloud-native architectures, implements Medallion Architecture and data warehousing, improves pipeline reliability and compute efficiency, develops CI/CD workflows, and mentors engineering teams delivering secure, actionable analytics for banking environments.

Automates, configures, and deploys cloud infrastructure across AWS and Azure. Builds and manages CI/CD pipelines, build and release processes, Docker containers, Kubernetes clusters, and infrastructure using Terraform. Administers Linux and Windows environments and works with Jenkins, Maven, artifact repositories, and cloud services including EC2, VPC, RDS, S3, EKS, AKS, and Azure networking.

Leads hands-on data integration and engineering initiatives using Azure Databricks, Azure Data Factory, PySpark, Python, and SQL. Modernizes legacy on-premises systems into cloud-native architectures, implements Medallion Architecture and data warehousing, improves pipeline reliability and compute efficiency, establishes CI/CD workflows, supports banking-grade security, and mentors engineering teams delivering actionable analytics.

Lead frontend and backend application development using Angular, TypeScript, JavaScript, Node.js, and related frameworks. Responsibilities include building accessible single-page applications, micro frontends, reusable UI components, backend services, database integrations, testing, and module federation architectures.

Lead real-time data integration using Azure Databricks, PySpark, Kafka, ADF, and ADLS. Build and optimize medallion-style ETL pipelines processing over 10 million daily records. Improve transformation efficiency, data quality, validation, and downstream reliability by identifying upstream data issues, implementing root-cause fixes, and collaborating with stakeholders.

Leads and develops enterprise web applications using Angular, React, .NET, Java, ASP.NET, Oracle, and Microsoft SQL Server. Responsibilities include full-stack web development, object-oriented design and analysis, database design, software architecture, analytical problem-solving, and full software development lifecycle participation. The role requires experience with Microsoft development tools and enterprise application technologies, along with relevant Microsoft certifications and a bachelor’s degree in IT.

Leads test automation activities using Selenium, Java, APIs, and automation frameworks. Develops and executes testing processes, creates test plans, coordinates with stakeholders, and delivers testing outcomes. Banking domain experience is advantageous.