Sachin Kumar Yadav — SDE-2 · Backend Engineer

SDE-2 · Backend Engineer

I turn complex financial, KYC, and regulatory workflows into simple, automated, reliable backend systems. Currently building at Angel One with Go, PostgreSQL, Redis, and AWS.

Go PostgreSQL Redis AWS Camunda Pinot Kinesis Microservices

Years Experience

15K/day

CDSL Records Processed

80%

Failure Reduction

SDE-2

@ Angel One

#About Me

I'm Sachin — a backend engineer and SDE-2 at Angel One. I specialize in building reliable production systems using Go, PostgreSQL, Redis, AWS, and microservices.

My work sits at the intersection of backend engineering, distributed systems, and financial technology. I work on KYC infrastructure, regulatory integrations, workflow automation, and data pipelines serving large-scale production workloads.

I enjoy taking complex operational or regulatory problems and turning them into simple, automated, reliable backend systems. Outside of day-to-day engineering, I stay sharp on algorithms — LeetCode Knight, Codeforces Specialist, and CodeChef Starters Rank 60.

SDE-2 at Angel One · KYC Backend team
Go · PostgreSQL · Redis · AWS · Camunda · Pinot · Kinesis
B.Tech IT · IIIT Lucknow · CGPA 8.4
Winner — IIIT Lucknow Hackathon
Daily driver: Neovim · Linux · tmux

~/sachin — zsh

$ whoami

sachin kumar yadav

$ cat profile.json

{

"role": "SDE-2 · Backend Engineer",

"company": "Angel One",

"team": "KYC Backend",

"location": "Bangalore, IN",

"stack": ["go", "aws", "postgres"]

}

#Where I've Worked

Software Development Engineer II

Apr 2026 — Present

@ Angel One · Full-time

Bengaluru, India · KYC Backend

Own backend components across KYC onboarding and regulatory integrations in Go.
Integrating Account Aggregator, Account Prefetch, RPD, and IMPS APIs into the user journey to reduce friction during KYC.
Design retry mechanisms, idempotent APIs, and asynchronous workflows using AWS + Camunda.
Drive reliability improvements for external regulatory integrations (CDSL, NSE, BSE, NSDL/Protean).
Design audit/analytics pipelines using Kinesis, Pinot, and S3 with tiered retention.

Go PostgreSQL Redis AWS Camunda Pinot Kinesis

Software Development Engineer I

Mar 2024 — Apr 2026

@ Angel One · Full-time

Bengaluru, India · KYC Backend

Automated the CDSL Harmonized Data Push pipeline — replaced manual CSV uploads with encrypted API-based transfer.
Built Account Aggregator integrations (OneMoney, CAMS) for automated bank-data retrieval during KYC.
Reduced NSE/BSE UCC push failures by ~80% by identifying validation gaps and hardening processing logic.
Built PDF/XML extraction automation, EMOD utilities, and operational tooling for TechOps.
Added backend support for Joint / Physical / EMOD account scenarios and BSEStar UCC format changes (183-field spec).

Go PostgreSQL AWS Lambda Step Functions SNS Camunda

Software Engineer

Nov 2023 — Feb 2024

@ MAQ Software · Full-time

Bengaluru, India

Worked on low-code / no-code automation workflows with a focus on backend engineering.

Software Engineer Intern

Jan 2023 — Oct 2023

@ Acko · Internship

Bengaluru, India

Built a Data Anomaly Detection Platform for post-policy insurance systems.
Supported engineering/operational workflows with automation and validation.

Spring Boot Python PostgreSQL AWS

#Case Studies

Bank Verification Suite for KYC

→ AA · Account Prefetch · RPD · IMPS

Built Account Aggregator integrations (OneMoney, CAMS) for automated bank-data retrieval during KYC — token initialization, webhook processing, and downstream workflow integration. Currently integrating Account Prefetch, RPD, and IMPS APIs into the user journey to reduce friction and manual steps.

Go PostgreSQL AWS Camunda Webhooks

CDSL

CDSL Data Automation

→ 15K records/day · replaced manual CSV workflow

Built a fully automated CDSL Harmonized Data Push pipeline processing ~15K records daily via encrypted API-based transfer. Includes secure file encryption via legacy tooling, robust error handling, and retry logic.

Go AWS Encryption Automation

UCC

NSE / BSE UCC Reliability

→ 80% reduction in push failures

Identified validation gaps in NSE/BSE UCC push logic and hardened backend validation and processing to reduce failures by ~80%. Extended utilities for BSEStar UCC 183-field format and multi-segment support.

Go PostgreSQL File Processing

Real-Time Audit Platform

→ Streaming audit + tiered retention

Designed a streaming audit architecture: Application → Kinesis → Pinot with ~90 days of realtime retention and older data offloaded to S3 for historical queries.

Kinesis Pinot S3 AWS

OPS

Operational Tooling & Automation

→ PDF/XML extraction · EMOD utilities

Built APIs and scripts for bulk PDF/XML data extraction, EMOD utilities, KRA T+4 wait-time (NSE calendar-aware) logic, and DIGIO QA bypass — empowering TechOps and QA teams.

Go AWS Lambda Automation

#Engineering Metrics

Years of professional experience

15K/day

Records processed daily through CDSL pipeline

80%

Reduction in UCC push failures

1928

LeetCode rating (Knight)

#60

CodeChef Starters 48

8.4

IIIT Lucknow CGPA

#Technical Skills

Languages

Go
Python
C++
Bash
SQL

Backend

Microservices
REST APIs
Distributed Systems
Concurrency
Idempotency
Reliability

Databases

PostgreSQL
Redis
Apache Pinot

Cloud (AWS)

Lambda
S3
SNS
Kinesis
Step Functions
IAM
CloudWatch
Secrets Manager
SSM
AppConfig

Workflow & Data

Camunda
BPMN
Event-Driven
Audit Pipelines
Streaming

Infrastructure

Docker
Linux
Git
CI/CD

#Education

Indian Institute of Information Technology, Lucknow

B.Tech in Information Technology

Aug 2019 — Jun 2023 · CGPA 8.4 / 10 · Hackathon Winner

#What I'm Learning

// currently_exploring

Deepening my understanding of modern AI systems — how agents are built, agent architectures, enterprise applications of AI, and how to integrate AI meaningfully into backend systems as a software engineer. Also going deeper on distributed systems, Go internals, and PostgreSQL performance.