VKS Data systems
for real decisions.

Data Engineer · Mumbai, India

I build the data systems behind better decisions.

I turn fragmented operational data into dependable pipelines, practical forecasts, and analytics products that people can actually act on.

Read case studies ↗ View résumé ↗
2022—NowBuilding production systems
End to endIngestion through delivery
Cloud nativeBigQuery + AWS workflows
LIVE SYSTEM MAP RUNNING
01 / INPUT
02 / PIPELINE
Frappe / Python Incremental ingest

Metadata-aware loading detects new and edited source files.

validatecleantransformaggregate
03 / VALUE
AIForecasts
APIData delivery
BIDecisions

Select a source to trace the system.

My operating principle

A pipeline is only valuable when its output is trusted, understandable, and ready to use.

Selected work · 01

Platforms, not just pipelines.

Two production-facing systems that connect backend reliability with a clear customer experience.

01

Data platform · Forecasting infrastructure

Forecasting Data Platform

An end-to-end forecasting workspace that takes users from raw data to exportable forecasts without stitching together separate tools.

Ingest

S3, BigQuery, and file-based inputs with edited-file reprocessing.

Prepare

Reusable validation, transformation, aggregation, and feature workflows.

Forecast

TimesFM 2.5 pipelines plus statistical and ML model evaluation.

Deliver

Results exported to S3, BigQuery, Frappe, or exposed through REST APIs.

Frappe / ERPNextPythonBigQuery AWS S3TimesFM 2.5
Read the forecasting case study ↗
01 Source-aware
data ingestion
02 Configurable
model workflows
02

Business intelligence · Decision engine

Business Analytics Platform

A customer-facing analytics product that unifies operations, finance, P&L, and forecasts—then translates business signals into clear risks and actions.

One viewCross-functional business performance
Live signalsKPIs, anomalies, and recommendations
ActionableProblem → impact → next best action
Frappe / ERPNextREST APIsAnalytics Forecasting
Read the analytics case study ↗

How I create value · 02

One engineer across the full data lifecycle.

Less handoff. More context. A cleaner path from source system to business outcome.

01↳

Connect

S3, BigQuery, files, ERPNext, REST, GraphQL

02↳

Make reliable

Clean, validate, transform, and detect changed inputs

03↳

Model

Aggregate, engineer features, and evaluate forecasts

04↳

Operationalize

Orchestrate workflows, automate runs, maintain delivery

05✓

Put to work

APIs, dashboards, mobile apps, AI systems, exports

Experience · 03

Built in production.

A career shaped by shipping customer-facing software and the data infrastructure behind it.

Oct 2022 — Present Mumbai

Ambibuzz Technologies LLP

Data Engineer / Software Engineer — Data Platform

  • Built a Frappe/ERPNext forecasting platform across ingestion, preprocessing, forecasting, storage, and export.
  • Designed metadata-aware S3-to-BigQuery workflows for incremental loads and edited-file reprocessing.
  • Orchestrated native BigQuery TimesFM 2.5 pipelines from batch loading through result storage.
  • Built REST APIs serving processed and forecast data to web, mobile, and AI applications.
  • Integrated ARIMA, SARIMA, TFT, TimesFM 2.5, Moirai, ARIMA+, and linear regression, including log-transformation preprocessing to improve model fit.
  • Contributed operational, financial, P&L, and forecasting workflows to a customer-facing business analytics platform.
  • Built n8n automation and maintained CI/CD workflows and production deployments.
Apr 2022 — Sep 2022 Bangalore

Geeksynergy Technologies

Flutter Application Developer

  • Developed and maintained production mobile applications with authentication, REST APIs, and backend synchronization.
  • Collaborated across backend integration, debugging, version control, and production releases.

Capabilities · 04

Tools follow the problem.

A practical stack for dependable data products—from infrastructure to interface.

A

Build

PythonSQLJavaScriptFlutter
B

Move & shape

ETL / ELTIngestionTransformationValidationAggregationOrchestration
C

Run in cloud

Google BigQueryBigQuery DTSAWS S3AWS LambdaDockerCI/CD
D

Forecast

Time SeriesTimesFM 2.5ARIMASARIMATFTMoiraiARIMA+Linear RegressionStatistical Analysis
E

Integrate

FrappeFrappe DoctypesERPNextMongoDBREST APIsGraphQLn8nWorkflow AutomationGit

Foundation · 05

Jul 2020 — May 2023

Bachelor of Engineering
in Computer Engineering

University of Mumbai

8.0 / 10 CGPA

Let’s build something dependable.

Have a hard data problem?

I’m at my best where data engineering, product thinking, and practical business value meet.

viraj.sased@gmail.com ↗
+91 99398 90224 GitHub ↗ LinkedIn ↗ Download résumé ↓