Headline

SDE 2: Data Engineering and Governance, AI Solutions for Fintechs| Databricks | Snowflake | AWS | Driven by Data

About

I’m a Data Engineer specialising in Snowflake platform governance, ELT pipelines, and Data Quality frameworks, helping fintechs and financial enterprises overcome data silos and build reliable, scalable data platforms. I’ve developed end-to-end data systems for 10+ financial enterprise clients, spanning ingestion, transformation, anomaly detection, data quality, RBAC, audit logging, and CI/CD. I also focus heavily on pipeline optimisation recently helping reduce a production pipeline’s runtime by 89%. I care about how data platforms are run, not just what they produce. My focus is on building governed, observable, and reliable data systems that turn fragmented data into trusted insights. At Infosoft LLC, I work as a client-facing engineer across concurrent projects in FinTech, FitTech, ERP, Ecommerce, AI in Healthcare, and scheduling systems. I lead cross-functional teams, mentor junior engineers, and work closely with stakeholders to translate business requirements into production-ready solutions. Beyond client delivery, I build internal tools, automation frameworks, and user-facing interfaces that bridge the gap between data infrastructure and software delivery. I’m particularly interested in Data Engineering and Data Quality Lead opportunities across BFSI, fintech, and data-first organisations. Core areas: • Snowflake & Data Platform Governance • ELT / ETL Pipelines • Data Quality & Observability • RBAC & Access Governance • Audit Logging & Compliance • Pipeline Optimisation • CI/CD & Data Engineering Automation • Anomaly Detection • Cross-functional Technical Leadership

Location

India

AI stack

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Work experience

Software Developer Engineer - 2 at Infosoftllc, Jan 2025 - Present · 1 yr 10 mos, United States, Ingest and integrate customer, account, deposit, loan, card, and transaction data from 10+ banks and fintechs on Jack Henry SilverLake/ODI, FIS, Fiserv, DataHub into standardized Snowflake/Databricks ELT pipelines. Engineered end-to-end ELT pipelines on Snowflake/Databricks (Star Schema, Medallion Arch) with SCD Type-2 modeling and metadata-driven lineage tracking for 100% traceable, compliance-ready financial reporting, extended pipelines to sync AWS S3 data into HubSpot with field-level customization. Developed Delta stream-based CDC ingestion for low-file-type sources, enabling real-time inserts into hybrid audit log tables. Implemented column-level masking, row-level access control, and AES-256 encryption for PII-sensitive fields, introduced SHA-256 checksum validation for ingestion integrity and tamper detection. Set up CI/CD pipelines using GitHub Actions with 95% success rate, configuring Schemachange YAML for full lifecycle deployment of SQL, notebooks, and Python ETL scripts. Reproduced a SQL Server locking mechanism across 2 environments, ran 10+ diagnostics ruling out 5 competing hypotheses (code change, lock escalation, HOLDLOCK, transaction scope). Lead Data Quality Governance across 10+ clients customizing validation, ingestion checks, and integrity constraints per client SLA, deployed in under 2 weeks/client, saving 4,800+ hours/year per client.

Software Developer Engineer - 1 at Infosoftllc, Jan 2024 - Jan 2025 · 1 yr 1 mo, Colorado Springs, Colorado, United States

Software Engineer Intern at Infosoftllc, Jun 2023 - Feb 2024 · 9 mos, Colorado, United States, I will be co-leading a project where I will design the roadmap, project directory structure, discuss which framework is more reliable and why.My duties involve me working on the same, using various testing boards on Jira like X-Ray board which helps to understand the integration an pipeline in more detail.I will be refactoring the code and optimising it as per needs to ensure the pipeline works flawlessly. I will discuss with clients regarding the bugs found and how to reach to solution for the same.

Project Intern at _VOIS, Jun 2022 - Aug 2022 · 3 mos, Gujarat, India, Creating a project from the scratch which solves a nationwide problem, in the domain of ML Complete modules for AI, Power BI, Cyber Security, from the LMS Portal Present the prototype and represent team as secured Top 40 out of 540 teams on national level Target Problem : Indelicate Career Choices Due to Lack of Awareness which is a root cause for both unemployment & lack of skilled workforce Proposed Solution : ML Based Career Counselling/ Guidance Chatbot

Project Team Lead at _VOIS, Jun 2022 - Aug 2022 · 3 mos, Led a 4-member team to engineer a Machine Learning Career Guidance Chatbot, trained on a 20,000 × 39 dataset with defined hyperparameters mapping careers, interests, and marks across a national spectrum. Secured Top 40 Finalist (out of 540 teams) at national level; represented the team at the Final Round in Pune.

Student Associate at Design Innovation Centre (DIC) - Hub ,GTU, Sep 2021 - Nov 2021 · 3 mos, Ahmedabad, Gujarat, India, Creating a website which is an open design challenge powered by Autodesk which helps to embrace and bring innovative ideas of students to life. Managing DIC Portal Project : Open Design Challenge Website for Autodesk on DIC Portal.

Student Volunteer at Google Developer Student Clubs, 2021 - 2022 · 1 yr, Ahmedabad, Gujarat, India

Education

Bachelor of Engineering, Computer Engineering, specialization in AI ML, Gujarat Technological University (GTU)

Public links

github: https://github.com/Devanshi-Crypto