Subhendu Poddar

Software Engineer

Bengaluru, Karnataka, India3 yrs 7 mos experience

Key Highlights

Expert in building microservices architectures.
Proven track record in performance optimization.
Strong background in backend development with Java.

Stackforce AI infers this person is a Backend Software Engineer specializing in Fintech and SaaS solutions.

Contact

Skills

Core Skills

JavaMicroservicesPython

Other Skills

AWS LambdaAlgorithmsAmazon AthenaAmazon S3Amazon SNSAmazon SQSAmazon Web Services (AWS)Apache KafkaBack-End Web DevelopmentBigQueryBlob StorageC (Programming Language)C++CassandraComputer Science

About

I'm currently working at Deutsche Bank as a Backend Software Engineer. Before joining my full time role at Deutsche Bank, I worked at Amazon as a SDE Intern. I'm open to work as a Software Engineer and looking forward to work on challenging tasks using cutting edge technologies.

Experience

Walmart global tech india

Software Engineer III

Jan 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Contributed to performance tuning efforts by implementing parallel processing strategies in internal APIs, achieving up
to 40% latency reduction in data-heavy operations.
Enhanced existing APIs to support broader user requirements through generalization and improved modularity.
Actively involved in peer code reviews, documentation walkthroughs and technical support for junior developers.
Currently working on building a report generation framework aimed at improving data visibility and decision-making for
internal users.
Tech Stack Java, SpringBoot, Microservices, ElasticSearch, Cassandra, Blob Storage, BigQuery

JavaSpringBootMicroservicesElasticSearchCassandraBlob Storage+1

Deutsche bank

2 roles

Senior Analyst

Promoted

Oct 2023 – Jan 2025 · 1 yr 3 mos · Pune, Maharashtra, India · Hybrid

Actively contributing as a Backend Developer for DWS, the Asset Management Division of Deutsche Bank.
Developed a robust ”Data as a Service” (DaaS) model from scratch aimed at replacing a third-party software solution. This initiative focused on enhancing the accessibility and reliability of fund-related data.
Implemented an Event-Driven Microservices Architecture leveraging Kafka messaging platform to facilitate real-time data processing and establish an event-driven communication between microservices.
Achieved an 80% reduction in file-level events processing time by optimizing the event handling mechanisms.
Implemented distributed Cache (Hazelcast) to reduce API latency and increase throughput, leading to
improved response time and overall system performance.
Leveraged data structures to expedite performance calculations, resulting in markedly faster computation times and improved overall efficiency.
Worked with StreamSets to automate data processing tasks, streamlining data ingestion, transformation and delivery pipelines for increased efficiency and reliability.
Developed comprehensive Splunk dashboards to monitor microservices, providing real-time visibility into system performance and health. Created targeted Splunk alerts to promptly identify and address issues, enhancing system reliability and reducing downtime.
Tech Stack Java, SpringBoot, Microservices, Hazelcast, Apache Kafka

JavaSpringBootMicroservicesHazelcastApache KafkaStreamSets

Graduate Analyst

Jul 2022 – Sep 2023 · 1 yr 2 mos · Pune, Maharashtra, India · Hybrid

Amazon

SDE Intern

Jan 2022 – Jun 2022 · 5 mos · Bangalore Urban, Karnataka, India

Automated Merchant Onboarding Validation processes within Amazon’s internal database system, streamlining validation procedures and ensuring accuracy and efficiency in merchant onboarding.
Developed a system generating detailed validation reports for each merchant, enhancing stakeholder insights.
Integrated Amazon SNS for automatic email notifications to stakeholders upon validation completion.
Tech Stack: Python, SQL, Amazon Athena, S3, Lambda, SQS, SNS

PythonSQLAmazon AthenaS3LambdaSQS+1