Omnichannel marketing
Adobe Campaign Classic/v8, Message Center, and Journey Optimizer integrations spanning email, SMS/RCS, direct mail, outbound telemarketing, and push.
Explore the case studySoftware engineer.
Systems thinker.
I connect applications, cloud infrastructure and data into systems that teams can operate with confidence.
Explore my workA view into the systems I work on.
Channel-specific integrations connect email, messaging and offline delivery with feedback and communication history.
See the communication work ↗Conceptual view · selected project patterns
Engineering across the full lifecycle:
from the first event to the operational view.
Adobe Campaign Classic/v8, Message Center, and Journey Optimizer integrations spanning email, SMS/RCS, direct mail, outbound telemarketing, and push.
Explore the case studyA stateful orchestration layer connecting object-storage events to ordered Airflow and Databricks processing.
Explore the case studyScala and Spark SQL pipelines joining customer profiles, maintaining change history, and publishing partitioned data products.
Explore the case study27 studies across recent and earlier work. Explore
the implementation and engineering decisions.
27 projects
Adobe Campaign Classic/v8, Message Center, and Journey Optimizer integrations spanning email, SMS/RCS, direct mail, outbound telemarketing, and push.
A stateful orchestration layer connecting object-storage events to ordered Airflow and Databricks processing.
Scala and Spark SQL pipelines joining customer profiles, maintaining change history, and publishing partitioned data products.
Python APIs, configurable event routing, and channel adapters connecting enterprise messaging systems.
Inbound email capture, content processing, metadata indexing, and an SSO-protected browser view.
Queue-to-API integrations with cached OAuth credentials, selective retry, and partial-batch failure reporting.
Reusable delivery workflows for Python services and Java/Scala workloads, with federated cloud authentication.
Structured application logging, queue-backed log forwarding, metric collection, and alert routing as code.
PySpark normalization, profile enrichment, rule-driven quality checks, and Iceberg-backed contact history.
PostgreSQL integration and retention jobs, plus warehouse provisioning and operational monitoring.
Cloud exposure checks, access-policy remediation tooling, endpoint inventory reporting, and Linux agent deployment.
JWT validation, signing-key discovery, audience authorization, and Microsoft identity integration for AWS-hosted services.
Manifest-driven encryption, vendor-specific delivery, and inbound decryption pipelines using Python, shell, and AWS Batch.
Python and Node.js generators that scaffold service code, infrastructure, configuration, and CI pipelines.
Tool-using assistants for notification test-payload construction and read-only cloud investigation.
Java services, data integration and DevOps supporting a shared sales and marketing data foundation.
Java and browser-based tools for discovering, investigating and managing enterprise metadata.
Self-service API test execution with concurrent workspaces, environment selection and execution history.
A browser-based service for finding and executing API tests, generating sample payloads and supporting release workflows.
API metadata and operational insights brought together in a developer-facing portal.
Production support for a defect workflow that connected investigation tools and operational context.
A proof of concept for requesting test accounts through APIs and a browser interface.
An academic web application connecting medical terminology, literature lookup and reporting.
An academic investigation of hybrid AES and ECC techniques in wireless sensor networks.
SAP supply-chain application support, integration testing and process documentation.
A Java web application for managing employee profiles and associated project information.
An academic project exploring temporal and spatial patterns in network behavior.
Try another technology or clear the current filters.
Case studies describe selected professional, academic and internship work at a high level. Recent work covers 15 engineering themes; the archive adds 12 earlier projects. The accompanying GitHub projects are independent educational demonstrations, separate from employer implementations.
I’m at my best where application code, infrastructure and operations meet.
I’m Sandeep, a software engineer with a foundation in Java application development and DevOps, and current work across Python services, AWS, data engineering and Adobe marketing platforms.
At Comcast, my work spans communication services, event-driven orchestration, Scala and Spark pipelines, delivery automation, and operational tooling. I bring implementation detail and a view of the complete lifecycle to the same conversation.
I care about clear service boundaries, understandable failure states and the evidence teams need to support what they ship.
Two resumes, shaped for the way
your team hires.