Mukesh K.

Mukesh K.

Jaipur, India
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About Me

M. L. is a Data Engineer with 4+ years of experience building Python backend applications and SQL-driven integrations for financial, onboarding, payment, settlement and high-volume transactional platforms. Expert in Python automation, AWS services (S3, Lambda, Glue, Batch), complex SQL, relational data modeling, data validation, reconciliation, and REST web service integrations. Proficient in Jenkins CI/CD, Docker, and production support with a strong focus on translating business requirements into reliable technical solutions.

Backend

Python FastAPI REST APIs ASP.NET Core

Database

SQL PostgreSQL SQL Server MySQL Oracle SQL

DevOps

Jenkins Docker AWS S3 AWS Lambda AWS Glue AWS Batch CloudWatch

QA & Testing

Unit Testing

Workflow

Git Agile (Scrum)

Other

ADO.NET Elasticsearch JWT Batch Processing Indexing Stored Procedures Transactions IAM C Data Validation Web Services Microservices .NET Core

Work history

Akeo India
Data Engineer - Financial Data Platform & AWS Integrations
2025 - 2026 (1 year)
Remote

  • Built Python and SQL-based data validation, reconciliation and transformation utilities for loan lifecycle and onboarding workflows, supporting 4-6 business-critical financial data paths

  • Designed AWS-oriented data flows using S3, Lambda, and Glue/Batch patterns for scheduled validation and operational data loads with optimized relational datasets improving query performance by 30%

  • Automated build and deployment flow with Git, Jenkins, Docker and AWS configuration, improving release cadence by 40%-50% while reducing manual deployment risk and contributing to 25,000 additional signups

PythonSQLPostgreSQLSQL ServerAWS S3AWS Lambda AWS GlueAWS Batch IAMCloudWatchGitJenkinsDockerC#.NET CoreASP.NET CoreABP Framework REST APIs EF Core FastAPI
Entain India (IVYComptech)
Software Development Engineer - Data-Intensive Backend & AWS Platforms
2022 - 2025 (3 years)
Remote

  • Developed data-intensive backend services for sports betting, payment, scoreboard and settlement workflows with focus on data consistency, event ingestion, reconciliation and reducing settlement discrepancies by 30%

  • Built Python scripts, SQL operational jobs and designed complex SQL data access flows for transactional operations, improving reliability for time-sensitive market operations and reducing latency by 150ms

  • Used Jenkins pipelines, Git, unit testing, code reviews and Agile/Scrum practices to reduce defects by 35% and improve release predictability while supporting AWS integration patterns and production observability

PythonSQLAWS S3AWS Lambda AWS Batch CloudWatchREST APIs MicroservicesSQL ServerPostgreSQLElasticsearch JenkinsGitUnit TestingFastAPIJWTRBAC

Education

Education
Backend Development Program
Scaler Academy
2024 - 2025 (1 year)
Education
Bachelor of Technology - Electronics & Communication Engineering
National Institute of Technology, Mizoram
2018 - 2022 (4 years)
Education
Professional Upskilling / Talent Program
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