---
title: "Sakshi Janghel - Data Engineer in Greater Bengaluru Area | Tal"
description: "Meet Sakshi Janghel, Data Platform Engineer | Kafka • PySpark • Snowflake • AWS based in Greater Bengaluru Area. AI stack includes codex, gemini, and github copilot."
image: "https://tal.club/meet/sakshi-janghel/share-image"
---

# Sakshi Janghel on Tal

## Headline

Data Platform Engineer \| Kafka • PySpark • Snowflake • AWS

## About

Data Platform Engineer with 3\+ years of experience building and operating production data systems for connected\-vehicle telemetry\. I work across the full data lifecycle, from high\-frequency Kafka ingestion and Python\-based payload decoding to PySpark processing, AWS orchestration, Snowflake modelling, and downstream analytics\. At Hero MotoCorp, I reduced AWS Glue infrastructure costs by 30%, designed backward\-compatible multi\-tenant Snowflake architectures for zero\-downtime platform onboarding, and built SLA\-driven Step Functions workflows for high\-volume telemetry pipelines\. I also developed a Python decoding engine that converted raw hexadecimal sensor payloads into analytics\-ready data, enabling QA and business teams to investigate vehicle issues without engineering intervention\. My current focus is applying this data\-platform foundation to production AI systems, including RAG, LLM orchestration, agentic workflows, evaluation, and observability for enterprise data and operational use cases\.

## Location

Greater Bengaluru Area

## AI stack

codex

gemini

github copilot

langchain

langfuse

langgraph

## Work experience

Data Engineer at Hero MotoCorp, Apr 2025 \- Present · 1 yr 8 mos, Bengaluru, Karnataka, India, \- Reduced AWS Glue infrastructure spend by 30% by profiling PySpark execution plans, eliminating redundant shuffles, and right\-sizing DPU allocation across production ETL workloads\. \- Designed backward\-compatible, tenant\-aware Snowflake stored procedures that enabled zero\-downtime onboarding of new ICE and EV vehicle platforms while preserving existing downstream consumers\. \- Architected multi\-stage AWS Step Functions workflows for high\-volume IoT telemetry pipelines, enforcing dependency ordering, retry behaviour, failure handling, and SLA\-based execution\. \- Improved Snowflake loading throughput and query performance by migrating high\-use transformation paths from external data access patterns to optimised internal staging tables\. \- Built a modular Python API framework used by five cross\-functional teams to automate telemetry extraction, processing more than 10,000 records per execution cycle and eliminating recurring manual analysis\. \- Implemented tenant\-aware Snowflake transformation layers that enforced logical isolation between ICE and EV vehicle data streams\. \- Partnered with QA, analytics, platform, and vendor teams to investigate telemetry failures, translate operational requirements into data workflows, and resolve production issues across the vehicle\-to\-cloud pipeline\.

Data Engineer \| Associate Connected Platform Manager at Hero MotoCorp, Jun 2023 \- Mar 2025 · 1 yr 10 mos, Haryana, India, \- Built a Python telemetry decoding engine that transformed raw hexadecimal sensor payloads into structured, analytics\-ready records, reducing engineering dependency during QA and vehicle issue investigation\. \- Owned technical integration across mobile applications, cloud infrastructure, and IoT telemetry streams for ICE and EV fleets\. \- Converted previously opaque binary telemetry into readable diagnostic outputs, enabling QA and business teams to investigate customer\-reported vehicle issues more efficiently\. \- Monitored vehicle\-to\-cloud telemetry flows, identified stream failures, and coordinated vendor resolution to maintain platform SLA compliance\.

## Education

Postgraduate Degree, Internet of Things \(IOT\), Centre for Development of Advanced Computing \(C\-DAC\)

Bachelor of Engineering, Electronics, Government Engineering College Raipur

[View the original profile](https://tal.club/meet/sakshi-janghel)

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