Shivanshu .

Software Engineer

Bengaluru, Karnataka, India7 yrs 5 mos experience

Key Highlights

  • Expert in Data Engineering and Cloud Solutions.
  • Proven track record in Fintech and SaaS industries.
  • Skilled in building scalable microservices and ETL pipelines.
Stackforce AI infers this person is a Fintech and SaaS expert with strong data engineering and cloud architecture skills.

Contact

Skills

Core Skills

Data EngineeringFintechSoftware EngineeringMicroservicesData MigrationCloud EngineeringPerformance Engineering

Other Skills

Apache AirflowApache BeamApache IgniteBigQueryCCreative Content CreationData AnalysisDataFlowDjangoDockerFlaskGo LangGolangGoogle Cloud Memorystore for RedisGoogle Cloud Platform

About

Available to have a chat at https://topmate.io/shivanshuvah The Goal is to NOT need a bio But till then here's a succinct one (obviously not reiterating the things you'd see in my 'experience' section below):- Technology enthusiast and a skilled Software engineer having worked on Data workflow-orchestration systems, distributed data processing on cloud, data engineering and data warehousing on cloud, microServices, engineering the Voice AI systems to disrupt the Voice AI domain and solving the most complex problems in the B2C fintech space at scale and now exploring the HR-tech space (B2B) Software engineering excites me to the core having worked on 0-1 product journeys and 1-10 product journeys and 10-100 product journeys Looking to work on....well, anything that makes me sound like a cool technology enthusiast! ;) When I am not filling office timesheets, I can be found engaged in Theatre rehearsals or chasing new experiences (travel, sports, art, hobbies)

Experience

Rippling

Engineer

Nov 2024Present · 1 yr 4 mos · Bengaluru, Karnataka, India

Cred

Software Engineer

Sep 2022Nov 2024 · 2 yrs 2 mos · Bengaluru, Karnataka, India

  • Immersing myself into Fintech and making “dhandha” 😉 (raking in the revenue for Cred). Ok, Formally, Identifying vague problems and solutioning for them and putting operations’ life at ease for our Lending LOB called Cred Cash 💰
  • 1. Building and scaling the Lender integration service, which houses all the lender integrations and the processing logic
  • 2. Framework-ing the logging of services. This resulted in logging essentials requests, blocking trivial logs, all while not having to write a single piece of log line for the developers
  • 3. Frame-working retries, that resulted in cost reduction by 1/3rd
  • 4. Bulkheading service to mitigate load on disbursals during repayments traffic and segregating basis the lender volume
  • 5. Designing and productizing dashboards on retool for Ops to rectify odd cases when anything goes haywire
  • 6.Becoming a part of on-call for operations and Solving for the loopholes in product, to finally scrapping on-call processes. In other words, “fatt gya” is a lot less heard now
PythonGolangDjangoApache AirflowData AnalysisData Engineering+1

Skit (previously vernacular.ai)

Software Engineer

Jan 2021Aug 2022 · 1 yr 7 mos · Bengaluru, Karnataka, India

  • Hustling everyday to make Skit.AI great!
  • I am not constrained to a finite set of responsibilities in the high-growth startup but here's what my JD mentions:
  • Designing and developing Microservices(Go Lang, Python- Django, Docker, k8s)
  • Troubleshoot the projects and bug and tech-debt fixes
  • Performance tuning
  • DB designing and analytics
  • Client Interaction as Pre-sales engineer
  • Building and streamlining processes for building an efficient team to achieve reduced TTL and increased ARR
  • Writing documentations (yes, I am that rare breed)
  • Review Codes
  • TLDR, I do anything that brings value to my organization
  • Built a time-advanced caching mechanism for TTS service to reduce the latency, improving CX.
  • Integrated with client APIs
  • Orchestrating the migration of jobs and processes running on cloud VMs to a better k8s infrastructure
  • Constructed Argo Workflows for building an ETL warehouse
  • Built the audio-overlay feature to emulate the noisy background environment in call-centres.
  • Built CI/CD pipelines for custom analytics repositories
  • Introduced a feature for setting the language of the call from the Outbound Call UI interface
Go LangPythonDjangoDockerk8sMicroservices+1

Capgemini

2 roles

Associate Consultant

Oct 2019Jan 2021 · 1 yr 3 mos

  • ODS(Operational Data Store) Migration to Google Cloud -ETL using pipelines
  • Highly sensitive data migration of a Financial Services client to google cloud.
  • Designing, building and implementing ETL pipelines(Batch and Streaming) on Google Cloud Platform(GCP) using DataFlow and workflow orchestration using Apache Airflow
  • Integrating and injecting streaming CDC data on GCP, using Google pub/sub.
  • Migrating all the on premise data to GCS and and builiding a Data Warehouse in BigQuery.
  • Optimize the legacy codes/architecture
  • Achievements- Received "Pat on the Back" award from client for diligent and outstanding efforts towards project development; Implemented a streaming job for more than 1000 CDC tables
Google Cloud PlatformApache AirflowDataFlowBigQueryData MigrationCloud Engineering

Senior Software Engineer

Sep 2018Oct 2019 · 1 yr 1 mo

  • Cache Implementation for a Payment Processing Service provider company
  • Performance is one of the imperative and coveted features of any modern system, especially when the system involves debit and credit card transactions. This was achieved using Cache in a clustered environment to counter any single point failure. This was implemented using IMDG(in-memory data grid) platforms namely Hazelcast, Apache ignite and Google cloud memorystore for Redis and integrating them into the java application. To perform sharding without any clustering, Jedis was used in conjunction with google cloud memorystore for redis.
HazelcastApache IgniteGoogle Cloud Memorystore for RedisPerformance EngineeringSoftware Engineering

National instruments

Intern

May 2017Jul 2017 · 2 mos · Bangalore/ Noida

  • Worked in National Instruments, Bangalore as a summer intern where we were trained for CLD certification while simultaneously donning the lead developer role for a project for NI Partner SIMTEST DYNAMICS, NOIDA for the client UNIPARTS, NOIDA, building a temperature control system for their furnaces using LabView and G(Graphical) programming language and replacing the traditional YOKOGAWA controllers

Education

NIT Jalandhar

Bachelor of Technology - BTech — Instrumentation & Control Engineering

Jan 2014Jan 2018

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