Harshita Sinha

Software Engineer

Bengaluru, Karnataka, India4 yrs experience

Most Likely To Switch

Key Highlights

Expert in designing scalable, high-performance systems.
Proficient in AWS services and data engineering.
Strong background in DSA and system design.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and E-commerce.

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Skills

Core Skills

MongodbApiRedisData AnalysisAwsData EngineeringEtlData VisualizationAnalyticsManagementTeam Management

Other Skills

AWS CloudFormationAWS LambdaAccess ManagementAmazon EC2Amazon QuickSightAmazon S3Amazon SQSAmazon Web Services (AWS)Analytical SkillsApache SparkApplication Programming Interfaces (API)Big DataC (Programming Language)C++CDK

About

With a strong foundation in DSA and system design, I’m a Software Development Engineer with experience at Amazon and FinBox, where I contributed to designing and optimising scalable, high-performance systems. At Amazon, I implemented authentication systems, designed efficient ETL pipelines using Apache Spark, and enhanced AWS CloudWatch monitoring to proactively identify and resolve system issues. At FinBox, I played a key role in implementing Redis caching, optimising MongoDB aggregation pipelines, and integrating third-party APIs for seamless data flows. I also automated client data delivery via SFTP and improved overall system architecture. I’m passionate about leveraging my technical skills to create innovative solutions that drive efficiency and scalability.

Experience

4 yrs

Total Experience

1 yr 5 mos

Average Tenure

1 yr 10 mos

Current Experience

Finbox

2 roles

Software Developer

Aug 2024 – Present · 1 yr 10 mos · On-site

Software Development Intern

May 2024 – Jul 2024 · 2 mos · On-site

◦ Redis Caching: Implemented Redis cashed client authentication token to reduce load from the server.
◦ Streamlined API for the QA: Modified the API to retrieve metadata for the QA, significantly reducing manual query efforts and saving valuable time for quality assurance processes.
◦ Mongo Aggregation: Designed and implemented a MongoDB aggregation pipeline to automate the generation of detailed reports on API failures and lender errors, and facilitated automated delivery to clients via SFTP, enhancing operational efficiency.
◦ Integrated Lender API: Successfully integrated third-party lender APIs to streamline the Lending Process.
◦Dynamic MongoDB Archival: Developed and implemented a dynamic archival solution in MongoDB, reducing storage costs, through efficient data management and retrieval strategies, leading to significant cost savings.

Go (Programming Language)PostmanDockerApplication Programming Interfaces (API)MongoDBSecure File Transfer Protocol (SFTP)+2

Amazon

Software Development Intern

Jul 2023 – Dec 2023 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Promotion Services (Promotion Data Insights)
◦ Implemented a robust ETL pipeline.
◦ Optimized data processing, reducing job execution time by 50 percent
◦ Implemented AWS Lambda to fetch tokens from the client and trigger an API call for Transitive Authentication of downstream dependency
◦ Developed a PySpark script for conducting thorough data quality checks and validation procedures post-processing, ensuring datasets integrity, precision, and accuracy
◦ Designed, implemented, and scaled an end-to-end quicksight dashboard to visualize, quantify, and analyze the conversion efficacy of promotions at Amazon.
◦ Executed Integration Tests to increase test coverage by 70 percent

GitAWS LambdaAmazon SQSApache SparkTypeScriptInterpersonal Skills+22