Josh Wadhwa

Full Stack Engineer

Hyderabad, Telangana, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Led migration of critical banking systems to Kubernetes.
Designed AI-driven tools enhancing enterprise efficiency.
Engineered secure platforms eliminating manual credential handling.

Stackforce AI infers this person is a Fintech Full Stack Engineer with expertise in automation and data engineering.

Contact

Skills

Core Skills

Full-stack DevelopmentReliability EngineeringGenerative AiData EngineeringProcess Automation

Other Skills

Alteryx BI + Visualization SolutionsAndroidAndroid DevelopmentAndroid StudioApplication Programming Interfaces (API)Artificial Intelligence (AI)AutomationCloud ApplicationsCloud StorageCloud-Native ArchitectureCommunity OutreachContinuous Integration and Continuous Delivery (CI/CD)Creative PitchingCross-platform DevelopmentDistributed Systems

Experience

Wells fargo

Software Engineer

Aug 2023 – Present · 2 yrs 7 mos · Hyderabad, Telangana, India · On-site

Part of the 𝗖𝗢𝗢 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗴𝗿𝗼𝘂𝗽, building and modernizing systems that support regulatory and supervisory processes across the bank.
𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Led migration of the regulator-facing 𝗕𝗮𝗻𝗸 𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺, pivotal in remediating Wells Fargo’s Sales Practices Consent Order, from VMware Cloud Foundry to 𝗢𝗽𝗲𝗻𝗦𝗵𝗶𝗳𝘁 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀. Containerized 20+ services across nine environments, improving reliability with fewer rollbacks and deployment failures.
𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗚𝗲𝗻𝗔𝗜: Designed and delivered a reusable 𝗚𝗲𝗻𝗔𝗜 𝗰𝗵𝗮𝘁𝗯𝗼𝘁 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 for enterprise business applications, enabling employees to query internal documentation in natural language. Built as a 𝗰𝗼𝗻𝗳𝗶𝗴-𝗱𝗿𝗶𝘃𝗲𝗻, 𝗺𝘂𝗹𝘁𝗶-𝘀𝗼𝘂𝗿𝗰𝗲 𝗶𝗻𝗴𝗲𝘀𝘁𝗶𝗼𝗻 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲, onboarded three apps within two weeks each, adopted by five teams, and reduced human escalations by 30%.
𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Engineered platform security through 𝗛𝗮𝘀𝗵𝗶𝗖𝗼𝗿𝗽 𝗩𝗮𝘂𝗹𝘁–𝗯𝗮𝘀𝗲𝗱 𝘀𝗲𝗰𝗿𝗲𝘁 𝗶𝗻𝗷𝗲𝗰𝘁𝗶𝗼𝗻 and 𝗺𝗧𝗟𝗦 (Venafi certificates), eliminating manual credential handling and ensuring auditable rotations.
𝗗𝗲𝘃𝗢𝗽𝘀 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Revamped CI/CD pipelines, migrating deployments from 𝗨𝗿𝗯𝗮𝗻𝗖𝗼𝗱𝗲 𝗗𝗲𝗽𝗹𝗼𝘆 → 𝗛𝗮𝗿𝗻𝗲𝘀𝘀 and CI from 𝗝𝗲𝗻𝗸𝗶𝗻𝘀 → 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗰𝘁𝗶𝗼𝗻𝘀. Automated smoke tests reduced deployment time by 30% and doubled release frequency.
Focused on 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, and 𝗮𝗽𝗽𝗹𝗶𝗲𝗱 𝗚𝗲𝗻𝗔𝗜 to scale secure, compliant enterprise systems.

Systems DesignDistributed SystemsGenerative AIReliability EngineeringKubernetesContinuous Integration and Continuous Delivery (CI/CD)+4

Goldman sachs

Corporate Treasury Intern

Aug 2022 – Jan 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

Worked on 𝗱𝗮𝘁𝗮 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 within the Corporate Treasury Technology division, enabling real-time exception management and analytics for high-volume payment operations.
𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Engineered data pipelines across the Corporate Treasury payment warehouse (10M+ records) to deliver the Straight-Through Processing (STP) metric — a mission-critical KPI for exception monitoring and operational health.
𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Built Alteryx–Tableau pipelines to automate payment-exception reporting, saving 15+ hours of manual work weekly and improving data visibility for 100+ global operations users.
𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Used Workflow Designer and BPMN to transform manual treasury processes into automated, auditable workflows, reducing human error and improving process reliability.
𝗘𝗧𝗟 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Refactored SQL joins and Alteryx transformations, reducing dashboard latency by ~25% and improving data integrity across upstream systems.

Data EngineeringProcess AutomationETLAlteryx BI + Visualization SolutionsWorkflow Automation