Amay Dave

Amay Dave

As a data engineer, I am driven by an insatiable curiosity and determination to master complex challenges, constantly seeking innovative solutions. My ambition fuels a creative approach to problem-solving, where I strive to build and optimize data systems with an eye towards ideal, impactful results.

Contact details — on requestProof of Work — on request

Experience

A

Data Engineer (Software Engineer)

AMDOCS · Jun 2025 – Present

Not yet confirmed
  • Built end-to-end ETL/ELT pipelines using Kafka (real-time ingestion), Spark (processing), and Snowflake (data warehousing), unifying vendor data across enterprise domains and processing 1M+ vendor records.
  • Designed the data layer and data model for a Third-Party Risk Management AI agent - standardizing vendor contract/breach histories into a fanout-free, similarity-mapped view (SQL + Python), cutting manual risk-review effort ~25%.
  • Used Docker to containerize backend microservices into lightweight, portable images - ensuring consistent environments across dev/test/prod; deployed and orchestrated them on AKS with Helm, and built CI/CD pipelines with GitHub Actions for secure, enterprise-grade scalability.
  • Configured Entra ID (MSAL) and JWT validation, and supported RESTful API integrations, strengthening access control and data-protection compliance.
  • Built Grafana dashboards monitoring pipeline health and data quality (ingestion lag, job failures, volume anomalies), enabling proactive issue detection before compliance impact.
Amdocs

Software Developer

Amdocs · Aug 2023 – Present

Not yet confirmed
A

Data Engineer (Software Developer)

AMDOCS · Aug 2023 – Jun 2025

Not yet confirmed
  • Developed an internal LLM-powered chatbot enabling natural-language queries over vendor and compliance data for business users.
  • Designed automated reporting workflows and data pipeline architecture across multiple source tables, cutting manual reporting effort ~30%.
  • Implemented automated data quality checks (row-count reconciliation, accuracy audits) across the migration pipeline to catch discrepancies early and ensure reliable Teradata-to-Snowflake data movement.
  • Streamlined reporting, reducing turnaround time ~40% and improving data accessibility for business and compliance teams.

Skills 0 proven through work

Also works with

JFrog Platform UsageJDA Software UsageIntune ManagementGoal AchievementSoftware Quality AssuranceRapid LearningProblem SolvingWork Planning and PrioritizationDashboard UI DesignForecastingWIP Tracking and MonitoringChatbot DevelopmentLarge Language Model DevelopmentVendor Performance AnalysisScore GenerationScoring Model DevelopmentVersion Control with GitHubCI/CD Pipeline ImplementationKubernetes OrchestrationMicroservices ArchitectureDockerTask AutomationRegulatory Compliance DocumentationRisk and Controls AssessmentExplainable AIReal-Time Data IntegrationSnowflakePySparkApache KafkaETL Pipeline Development

Proof of Work

Proof of Work

Amay shares this with people who ask. You'll hear back either way.

Education

B.E., Computer Engineering

Bharati Vidyapeeth College of Engineering, Pune · 2019 — 2023

Contact details

Contact details

Amay shares this with people who ask. You'll hear back either way.

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