Sarath Kumar

Leading the platform design and data migration as well as moving the spark & flink jobs from HDFS to Apple cloud storage and building the Lakehouse with unity Catalog. Responsible for designing, implementing, and maintaining security controls to protect data—especially sensitive and personal data—across storage, processing, and transmission layers.Build and validate secure ETL/ELT pipelines in Databricks (using Delta Live Tables, Spark jobs, or SQL workflows) and Ensure input validation and output sanitization in transformations to avoid data leakage.Ensure GDPR Principle are applied while building the data pipelines . Use Unity Catalog to manage fine-grained permissions across data assets (catalogs, schemas, tables, rows, columns) adhering to least privilege and compliance needs Implement ed Data Masking, Pseudonymization, and Dynamic Views and Employ Terraform-based security templates for standardized deployments and use Databricks Security Analysis Tool (SAT) to monitor compliance over time Leading the development, testing and deployment of LLM models for Gen AI projects. Proficient in technology leadership, architecture, designing, building teams from starch, strategy planning, project management, stakeholder management along with the budget planning and CP handling. Crafting technology strategies vision, roadmap and leading data team to deliver solution Leveraging OnPrem, cloud and Opensource technologies. Manage and drive direction from strategy, planning, prototype to execution of applying data analytics which includes data scoping, analysis, pre-processing, applying relations, Worked and manage multiple parallel RPFs/Proposal for Data related project for banking, Communication and tech clients. As a Principal Data engineer, analyse, design and build modern data solutions using Azure service to support visualisation of data. understand current production state of applications and determine the impact of new implementation on existing business process.

Manage and drive direction from strategy, planning, prototype to execution of applying data analytics which includes data scoping, analysis, preprocessing, applying relations , visualization and delivering actionable insights in the Ad publishing and banking engagement :Highly competent Data Engineering including DevOps Sr. Manager with strong cross functional and technical experience in designing, implementing business engineering, Intelligence & Data solution with 8+ years of Agile Data engineering end to end project management experience for advertisement, banking platform in the data& Analytics technology space using python, spark, Azure Databricks, Predictive modeling, data processing, and data mining to solve challenging business problems. Strengthened overall pipeline performance, committed to championing a data-driven decision-making culture that meet business demand for timely focused analytics and information delivery. Hands on technologist with ability to research new technologies, aspiring to work in an enthusiastic, creative, and competitive environment that would set opportunities for enhancing and applying my skill and to contribute towards organizational growth.

o Worked as Data Engineer lead in Honey well Analytical products such as Scanners (Image Processing), Thermal Temperature as well as Honeywell Homes & building connects Applications . o Build complex data pipeline and deployed the data into Hadoop environment over AWS as a multi cluster environment to do analytics for Honeywell IOT devices. o Design, implement, and maintain data processing pipelines to aggregate, clean, and process large volumes of IOT streaming data.

Worked as a lead Specialist for Banking and Insurance customer as a ETL Developer.

ETL developer

ETL Development