Lokesh Patel

Software Engineer

Bengaluru, Karnataka, India3 yrs 11 mos experience

Key Highlights

Expert in building scalable microservices and data pipelines.
Proven track record of optimizing cloud infrastructure.
Strong background in backend and full-stack development.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and data processing.

Contact

Skills

Core Skills

Apache KafkaTypescriptSpring BootPowerbiSnowflake

Other Skills

Python (Programming Language)Azure blob storageAzure data factorySQLMS ExcelProduct DevelopmentRedux.jsProblem SolvingDesign PatternsLinuxApache AirflowAmazon Web Services (AWS)JavaJavaScriptC++

About

I’m a software engineer with experience in backend and full-stack development, Experience in Java, JavaScript, React, and Big-Data processing using Spark. I have expertise in building scalable microservices, optimising cloud infrastructure, and designing real-time data pipelines. My focus is on delivering solutions that enhance system performance, streamline processes, and improve user engagement. I’m passionate about solving technical challenges and continuously improving systems to meet business objectives.

Experience

3 yrs 11 mos

Total Experience

2 yrs 4 mos

Average Tenure

1 yr 7 mos

Current Experience

Microsoft

Software Development Engineer II

Jan 2026 – Present · 5 mos · Bengaluru

Groupon

Software Development Engineer II

Nov 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

Apache KafkaPython (Programming Language)

Adobe

Member Of Technical Staff

Jul 2022 – Nov 2024 · 2 yrs 4 mos · Bengaluru, Karnataka, India

TypeScriptApache Kafka

Geeksforgeeks

Technical Content Researcher

Oct 2021 – Feb 2022 · 4 mos · Noida, Uttar Pradesh, India

Optum

SWE Intern

May 2021 – Jul 2021 · 2 mos · Hyderabad, Telangana, India

Worked on the POC environment of Snowflake for Power BI.
Created an integration between Snowflake and blob storage for
automated heavy data loading.
Used Azure data factory as pipeline and Azure blob storage as big data source.
Reduced overall data loading and processing time by 78% as compared to previous on-premises server.
Reduced data loading and processing time by 80% for Big-data in powerBI.
Created a connection between Power BI and snow_ake for data visualization and dashboards.
Developed a interactive dashboard on PowerBI for sample covid-19 Big-Data (loaded into snowflake).
Technologies used:
Snowflake, Azure blob storage, Azure data factory, PowerBI, SQL, MS Excel.

Spring Boot