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DPY

Founder & engineer

I build the software that service businesses run on.

Founder of Queuella, a multi-tenant queue, booking and POS platform with a native iOS app. Senior data engineer at Liberty Mutual, building regulated, enterprise-scale pipelines since 2021.

Available for select roles & advisory.

Years in data engineering
6+
Countries supported: US, Nepal, India
3
Native staff app and web platform
iOS + Web
AWS services in production
9+
See the Queuella case studyGet in touch
Dipendra P. Yadav

Dipendra P. Yadav · Georgetown, TX

Case study · 2024 – Present

Queuella: one platform for the waiting room, the booking calendar and the till.

The problem

Small service businesses juggle a paper list, a booking tool, a card reader and a messaging app. Guests do not know how long they will wait, and staff re-key the same information in three places. Most tools also assume one country and one tax regime.

What I did

Designed, built and operate the whole thing: product, web platform, native iOS app, payments, cloud infrastructure and the security program. One engineer, shipped in production.

Illustrative UI built for this page. No real customer data.

What was built

  • Queue and booking

    Walk-in queue, appointments, a check-in kiosk and a lobby TV board, ranked server-side so every surface shows the same order.

  • Point of sale

    Card payments through Stripe Terminal, QR payments for markets where cards are not the default, receipts, refunds with approver controls.

  • Native staff app

    SwiftUI app for iPad and iPhone with PIN sign-in, push notifications and live updates, released in lockstep with the web platform.

  • Multi-country

    US, Nepal and India with a tax engine, local currency handling and country-aware phone and messaging rules.

  • AI features

    Assistive features on AWS Bedrock (insights, suggested replies) gated to paid plans and cached to keep inference cost bounded.

  • Security program

    Designed toward SOC 2, HIPAA-readiness and PCI SAQ A: tenant isolation, audited admin access, WAF, same-origin guards. Not yet certified.

Engineering highlights

  • Strict multi-tenancy: every query is keyed by organisation, with auth resolved before any database access.
  • Raw SQL on PostgreSQL (RDS) with a large migration history, idempotent writes and transactional outbox-style background jobs.
  • AWS ECS Fargate behind an ALB with WAF, SQS plus a dead-letter queue for webhooks, SES, SNS, EventBridge schedules and CloudWatch alarms.
  • Large automated test suite (unit plus Playwright end to end) and a CI pipeline tuned for cost.
  • A documented findings ledger: root causes and traps are written down so the next engineer does not re-derive them.
Visit queuella.com (opens in a new tab)

Core Competencies

Professional Experience

Founder first, with a data-engineering career underneath it: years of building pipelines that regulated businesses can audit.

  1. Founder & Engineering Lead

    Queuella ↗

    2024 – Present
    Georgetown, TX

    • Built and run a multi-tenant queue, booking and POS platform end to end: Next.js and TypeScript on PostgreSQL, with a native Swift iOS staff app.
    • Shipped card and QR payments, billing, loyalty and a tax engine covering the US, Nepal and India.
    • Designed the AWS backend (ECS, RDS, SQS, SES, Cognito, Bedrock, EventBridge, WAF) and migrated authentication to Cognito without losing user data.
    • Set up the engineering system: broad unit and end-to-end coverage, cost-aware CI and documented decisions.

  2. Senior Data Engineer

    Liberty Mutual Insurance Company

    Jan 2021 – Present
    Remote | Austin, TX

    • Led migration of core insurance data systems to AWS (S3, EMR, Glue, Redshift); redesigned ETL/ELT workflows cut processing errors and testing cycles by 85%.
    • Built enterprise PySpark, Hadoop and Hive pipelines over multi-TB datasets feeding analytics, reporting and ML.
    • Put data quality and lineage controls in place (schema validation, reconciliation, null-rate monitoring) so regulated reporting stays auditable.
    • Tuned Spark jobs (partitioning, broadcast joins, skew handling) to shorten runtimes and lower cluster cost.
    • Delivered ML-ready feature pipelines with point-in-time correctness, and mentored an Agile team on monthly reporting.

  3. Engineering Lead, Business Automation

    iBrows Studio | Multi-Location Beauty Brand

    2024 – Present
    Georgetown, TX

    • Replaced manual multi-location payroll with an automated pipeline (Python, AWS Lambda, EventBridge) that runs every pay cycle.
    • Turned raw timecard, team and payment data into per-employee payroll with configurable rules.
    • Added timezone-aware anomaly detection for clock violations, oversized shifts and probable auto-clockouts.
    • Sends branded pay stubs, exception reports and a manager summary automatically.

  4. Data Engineer

    Cognizant Technology Solutions

    Aug 2020 – Dec 2020
    Austin, TX

    • Built a real-time social stream pipeline on Kafka and Spark Streaming, from ingestion to output sink.
    • Analysed multi-source COVID-19 healthcare data on AWS EMR and shipped Power BI call-center dashboards.

  5. Student Research Assistant

    Texas Tech University

    Apr 2019 – May 2020
    Lubbock, TX

    • Automated log-file extraction and processing with Python and Bash, improving data accuracy for analysis.

Technical Skills

Languages

  • Python
  • SQL
  • TypeScript
  • Swift
  • R
  • SAS
  • Bash
  • PowerShell

Big Data

  • PySpark
  • Apache Spark
  • Hadoop
  • Hive
  • MapReduce
  • Kafka
  • Spark Streaming

Cloud / AWS

  • S3
  • EMR
  • Glue
  • Redshift
  • SQS
  • SNS
  • SES
  • Cognito
  • ECS
  • Lambda
  • Bedrock
  • EventBridge
  • WAF

Databases

  • PostgreSQL
  • Oracle Autonomous DB
  • MySQL
  • MongoDB
  • Cassandra

APIs / Integration

  • Stripe
  • Square API
  • REST API Design
  • OpenAI API

AI / LLM

  • AWS Bedrock
  • OpenAI API
  • LLM Integration
  • AI-Assisted Engineering

ETL / ELT

  • Apache Airflow
  • Informatica
  • Talend
  • dbt
  • pandas
  • Event-Driven Pipelines

Data Quality

  • Great Expectations
  • Schema Validation
  • Anomaly Detection
  • Data Lineage
  • Governance Frameworks

ML Frameworks

  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Statistical Modeling

BI / Viz

  • Tableau
  • Power BI
  • Recharts
  • Oracle Analytics Cloud

DevOps / Testing

  • Docker
  • Kubernetes
  • AWS ECS
  • Git
  • Agile/Scrum
  • Vitest
  • Playwright

Education

M.S. Data Science

University of Texas at Austin

Aug 2025

B.S. Computer Engineering

Texas Tech University

May 2020

Certifications & Coursework

AWS Certified Developer – Associate (opens in a new tab)Amazon Web Services · Earned Oct 2020
AWS Certified Cloud Practitioner (opens in a new tab)Amazon Web Services · Earned Oct 2020
  • Databricks

    Academy Accreditation — Databricks Lakehouse Fundamentals

    Issued Oct 2022

  • UT Austin

    Advances in Deep Learning

    Issued Jan 2026

  • UT Austin

    Design Principles & Causal Inference

    Issued Dec 2024

  • UT Austin

    Data Structures & Algorithms

    Issued Dec 2024

  • UT Austin

    Optimization

    Issued May 2025

  • UT Austin

    Deep Learning

    Issued Aug 2024

  • UT Austin

    Data Science for Health Discovery and Innovation

    Issued May 2024

  • UT Austin

    Foundations of Regression and Predictive Modeling

    Issued May 2024

  • edX

    Machine Learning

    Issued Dec 2021

  • edX

    Probability and Simulation-Based Inference

    Issued Nov 2021

Let’s talk.

Available for select roles and advisory: product-minded engineering, data platforms and early-stage SaaS.

Email meGitHub ↗queuella.com ↗