Krishna Maurya Email & Phone Number

Luxembourg

Started at Amazon Transportation, focusing on metrics for Delivery Accuracy, before transitioning to the Amazon Devices Organization to support the Sales and Marketing departments.• Automated the classification of customer reviews using Amazon Bedrock LLM, integrating business logic to streamline issue analysis. This initiative saved 600 hours/year by reducing manual classification efforts and ensuring improved metrics for better action plans.• Led the implementation of a dedicated Redshift test cluster, replacing a shared environment. This reduced sprint cycles from 5.5 to 4 weeks, enhanced query performance by 50%, reduced testing time by 30%, enabled 20% more releases annually, and resulted in cost savings of ~$27k per year.• Developed a scalable, isolated testing environment for a 60k-line SQL pipeline consuming data from 90+ production sources. The solution reduced manual testing by 20%, cut implementation errors by 30%, and shortened the deployment timeline to 3 weeks, saving 120 man-hours per sprint and ~$65k annually.• Created an automated Python package to identify and report inefficient data pipelines, improving scalability preparations and cutting debugging time by 80%. This also resulted in a 30% boost in processing speed for mission-critical data products.• Designed an automated Python package to streamline SQL code conversion across different environments, optimizing deployment workflows and ensuring consistency across various stages of the development process

Mumbai, Maharashtra, India

• Designed and developed real-time and batch data pipelines from Kafka for ingestion of payment data, including Wires, ACH, Cheques, and Journals.• Built and optimized ETL/ELT workflows using PySpark in a Hadoop ecosystem, ensuring alignment with evolving business requirements.• Delivered insightful business reports and dashboards for POs and stakeholders, enabling data-driven decision-making and analytics.• Ensured adherence to tech hygiene and implemented best practices for data processing, driving consistency, and maintaining high-quality standards across projects.

Mumbai, Maharashtra, India

• Developed and optimized data processing flows using Spark (PySpark) and Python to enhance data ingestion and batch processing pipelines.• Led the migration and optimization of existing Ab Initio applications to PySpark, resulting in improved performance and process efficiency.• Ensured data quality and integrity within the Hive DB environment, implementing quality checks and automation for handling large volumes of data.• Streamlined processes by leveraging Ab Initio parallelism concepts, while ensuring code standards and quality assurance throughout the development lifecycle.

Mumbai, Maharashtra, India

• Led the Global Cost Modeling project as a Data Engineer & Project Coordinator for an insurance client, handling end-to-end ETL design, data profiling, and Ab Initio development.• Coordinated directly with clients in an Agile environment, gathering requirements, providing technical proposals, and ensuring alignment with evolving business needs.• Managed all phases of the SDLC, including unit testing, job scheduling, and ensuring the smooth and timely delivery of the Global Cost Modeling project.

Pune, Maharashtra, India

Continued to work with the same FDS (Financial Data Services) team as a senior resource.Responsibilities:• Involvement in requirement gathering.• Code Delivery Estimation• Development of Ab Initio applications, Shell Scripts, SQL Scripts.• Unit Testing of applications.• Coordination with QA and Production Support teams.

Pune, Maharashtra, India

Worked as an integral part of the development team on projects handling data from the Finance domain.Responsibilities:• Development of Ab Initio applications with standard approaches.• Implementations of Ab initio queue.• Performed initial analysis and debugging of the issue.• Performed unit testing.• Monitoring Installs.