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Lead enterprise data platform and analytics initiatives with a focus on Azure Data Factory, Databricks, PySpark, and GenAI/Azure OpenAI solutions, while providing technical leadership and mentoring.
Senior Data Engineer building scalable cloud data pipelines and modernizing enterprise data platforms using Python, SQL, and cloud services (Azure/AWS/GCP) with tools like Databricks, Snowflake, and Spark.
Lead Data Engineer/Data Architect designing and implementing enterprise-scale cloud data platforms (Azure, AWS, or GCP), including data lakes, lakehouses, and warehouses using Python, SQL, and tools like Databricks, Snowflake, or Spark.
Senior Data Engineer building scalable data infrastructure, ETL/ELT pipelines, and data warehousing solutions using Azure Data Factory, Databricks, Snowflake, Redshift, and SQL to power BI and analytics for business users.
Data Engineer designing and maintaining scalable data pipelines using dbt Cloud, Apache Airflow, and GCP BigQuery for a Big 4 firm in the Financial Services domain.
Lead/Senior Data Engineer designing and delivering scalable data pipelines and platforms using Python, Scala, Spark, and SQL, while mentoring a team and collaborating cross-functionally.
Senior Data Engineer building production Databricks Lakehouse platforms with PySpark, dbt, PostgreSQL, and CI/CD pipelines at Publicis Global Delivery in India.
A Data Engineer who builds and optimizes scalable data solutions on Microsoft Azure using Azure Data Factory, Databricks, PySpark, and Synapse Analytics. The role focuses on developing ETL/ELT pipelines, modern Lakehouse and data warehouse architectures, data integration, and ensuring performance, quality, security, and governance.
Develop reports using Epic Clarity and/or Caboodle, leveraging SQL scripting and the Epic Data Model in a hybrid role based in Maharashtra.
Designs, implements, and maintains data infrastructure on Google Cloud Platform (GCP) using tools like Dataflow, Dataproc, and BigQuery; collaborates with teams to ensure data is collected, stored, processed, and analyzed effectively.
Senior Java Backend Engineer designing and building backend services and APIs for an AI-driven cybersecurity consulting firm, using Java, Spring Boot, and cloud technologies in an on-site Hyderabad role.
Java Backend Developer building high-performance, scalable applications for the Indian payments ecosystem using Java, Spring Boot, Spring Cloud, Kafka, and relational/NoSQL databases in an agile environment.
Lead DevOps engineer for enterprise blockchain platforms, focusing on deploying DLT (Hyperledger Besu), Java microservices on Kubernetes/OpenShift, and managing secure wallet infrastructure using CI/CD and IaC tooling.
Node.js backend developer role in Pune building REST APIs and microservices using Node.js, TypeScript, Express.js/NestJS, and SQL/NoSQL databases for a global professional services firm.
Front-End Implementation Developer at a digital agency, taking pre-coded HTML/CSS and integrating it into live client websites (WordPress, static HTML, CMSes), with focus on responsive QA, form wiring, performance optimization, and SEO.
Frontend Developer building digital brand experiences using WordPress, Angular, JavaScript, Node.js, and Generative AI tools at a digital agency in India.
Senior Systems Administrator leading a large-scale migration of ~400 VMs from VMware ESXi to Microsoft Hyper-V, while providing senior-level administration of Windows Server, virtualisation and backup environments across on-prem and cloud platforms.
Full Stack Developer for a finance-sector client, designing scalable server-side solutions with Node.js, building responsive UIs with React, and managing MongoDB and MySQL databases.
Senior Systems Administrator leading a large-scale VMware-to-Hyper-V VM migration (approx. 400 VMs) while administering enterprise Windows Server environments, managing VMware ESXi, Hyper-V, and Veeam backup platforms across on-prem, Azure, and AWS.
Sr Revenue Assurance Analyst protecting revenue integrity through financial analysis, dispute investigation, and risk identification (80% Revenue Assurance, 20% Billing Operations), collaborating across Finance, Billing, Sales, and Legal using advanced Excel and data analysis.
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