MANISH GUPTA

• Constructing data frameworks emphasizing data lineage and data taxonomy for enhanced Nike internal operations.

Project: Learning Portal (Client: Cornerstone OnDemand).

Business Impact

1. Architected and delivered a next-generation data platform on AWS Glue, DBT, and BigQuery, migrating from a multi-tenant to a single-tenant DB architecture, achieving a 70% reduction in latency for the UI, and enabling scalable, client-specific analytics.

2. Designed and led the development of an event-driven, real-time pipeline using Kafka and BigQuery to compute leaderboard scores with a 1-hour near-real-time SLA, powering mission-critical product features for thousands of enterprise users.

3. Built an automated GDPR-compliant data deletion framework across AWS and GCP, eliminating manual operations, and ensuring 100% regulatory compliance across client organizations.

• Tool Automation and Performance Impact

1. Defined and implemented a real-time monitoring framework for CDC connectors, publishing health metrics to BigQuery and integrating with Tableau dashboards, thus reducing ETL outages by 50% by catching failures early and taking action promptly.

2. Optimized Airflow orchestration with dynamic scheduling, cutting pipeline delays by 50%, and accelerating the delivery of business-critical dashboards.

3. Reduced cloud costs by 25% via performance analysis and resource tuning in BigQuery, Cloud Run, and Cloud Functions.

4. Performed Elasticsearch optimization by migrating excess data of over 500 GB from a single shard to multiple shards using cluster re-indexing, and reduced bottlenecks for data ingestion.

5. Strategize export, import jobs to migrate data from production to lower environment for data evaluation.

• Leadership and mentoring.

1. Led architecture discussions with business analysts, cross-team leads, and platform architects, leading to a robust design and considering strong business use cases.

2. Mentored a 4-member team, established an early demo, and fostered a fail-fast culture, influenced roadmap priorities, and accelerated project delivery timelines.

Key Technologies: Spark, Airflow, dbt, BigQuery, Glue, Delta Lake, Pub/Sub, ElasticSearch, Cloud Run, Kubernetes, Python, and SQL.

Project: CRM Sales Fusion (SaaS Application) | Product Development | Global Enterprise Clients

• Led architecture and backend design of CRM SaaS applications supporting 2000+ enterprise clients globally, handling millions of transactions per day with strict SLAs.
• Designed and implemented scalable REST APIs & microservices (Java, Spring) and optimized data models that powered sales workflows for enterprise customers
• Optimized performance by 25% through advanced profiling (JFR, SQL tuning, memory analyzers), improving page load times and client adoption metrics
• Followed Model and Test driven development TDD.
• Worked with 50+ enterprise clients in troubleshooting and resolving production issues.
• Collaborated with cross-geography teams (US, Europe, APAC) to design multi-region support and ensure scalability of CRM SaaS architecture for global deployments.
• Mentored junior engineers on system design, coding best practices, and debugging complex production issues, accelerating their growth into senior roles.
• Drove automation in python for upgrading client customize dashboards along with release instead of manual work for upgrade

Key Technologies: Java, Spring, REST, SQL, Oracle DB, Kubernetes, CI/CD (Jenkins), Oracle Cloud-native microservices

• Worked as a developer for a RBS Relationship Manager platform (banking domain & Retail), delivered bank application model service and UI in java for 3 years.
• Trained in Infosys with Specialization in Java/J2EE with CGPA 4.91/5 in 6 month