Sandesh V H

01 About

A software engineer at the intersection of data and infrastructure.

I work end-to-end across the data and platform stack — streaming and batch ingestion, transformation, dimensional modeling, and the IaC, CI/CD, and observability that keep everything running in production.

I lean toward data engineering, but I'm comfortable across DataOps, DevOps, cloud architecture, and platform work. Most of what I ship is on AWS, with a track record of cost-conscious design, junior mentorship, and translating fuzzy stakeholder needs into systems that hold up.

"Perfect and useful as a reference doc." — client, on a data model workbook I delivered.

02 What I Do

Capabilities across the data and cloud stack.

Data Engineering

Streaming pipelines: Kafka Connect → S3 → Aurora, with Lambda for near real-time loads
Batch ETL/ELT with AWS Glue, Apache Airflow, dbt, and Spark — into Redshift
Dimensional / EDW modeling — DIM/FACT design and analytical query remodeling
End-to-end data lineage and ODS-to-warehouse mapping

Cloud Architecture & DevOps

AWS architecture: VPC isolation, least-privilege IAM, cost-optimized service selection
Infrastructure as Code with Terraform, reproducible across environments
CI/CD with Bitbucket Pipelines, Azure DevOps, and GitHub Actions
Container release flow: Docker → ECR → ECS, automated end-to-end
Observability via CloudWatch + Slack/email alerting; security via WAF, KMS, Secrets Manager, SSM

Knowledge & Stakeholder Management

Delivered Cloud ETL training program for new hires while live on production
Ran SQL bootcamp for interns; led data-management training for the sales team
Hosting bi-weekly client calls and owning project administration end-to-end
Junior engineer mentorship and cross-team collaboration

03 Tech Stack

Tools I reach for.

AWS

S3RedshiftRDS AuroraGlueMWAAMSK ConnectEC2ECSLambdaVPCIAMKMSSecrets ManagerSSM Parameter StoreWAFCloudWatchEventBridgeSNS

Data Engineering

Apache AirflowKafka ConnectdbtSparkAWS GlueData ModelingML Studio

DevOps & IaC

TerraformAzure DevOpsBitbucket PipelinesGitHub ActionsDocker

Languages

PythonSQL

Databases

PostgreSQLSQL ServerAWS RedshiftRDS Aurora

Visualization

Tableau

Low-Code

Microsoft Power AutomatePentaho Data Integration

04 Impact & Highlights

Where my work has moved the needle.

$300 / month
Saved by implementing dbt Core inside MWAA — eliminated the need for a separate dbt Cloud subscription.
64% cost cut
Deployed Kafka Connect on EC2 Auto Scaling instead of the managed alternative; client called it out as a standout result.
$3,000 / year
Saved on connector subscription costs by adopting OneDrive thumbnail generation as a free image-resize path.
"Perfect"
Client's verdict on the EDW data model workbook — adopted as a reference document for the team.
3 training programs
Cloud ETL training for new engineers, SQL bootcamp for interns, and data-management training for the sales team.
PDF rendering fix
Resolved long-standing image and table page-break issues in a legacy client system, while keeping output file size minimal.
Client ownership
Hosting bi-weekly client calls and owning project administration — payments, scoping, and stakeholder alignment.
Mentorship
Mentored junior engineers and led cross-team collaboration between Data Engineering and DevOps to unblock delivery.