Srinivas Reddy Alluri

Cloud Data/AI Engineering Lead

+65 82255712 | heysrini@outlook.com | Stackoverflow | Website

Summary

Experience

Staff Software Engineer @ Constantinople, Singapore
Mar 2025 – Present
Technical lead for the data platform behind a multi-tenant banking-as-a-service product, embedded with regulated banking clients from requirements through to production ownership, and driving the platform's GenAI work.

Achievements

  • Built and shipped an internal AI agent platform on AWS Bedrock: a streaming chat app whose agent works across GitLab, Jira, Slack, ITSM, and data lineage, with every tool call scoped to the user's own OAuth permissions. (LangChain, FastAPI, SSE, OpenMetadata MCP, DynamoDB, EKS)
  • Automated data access provisioning on that platform, turning a plain-language request into a policy-checked merge request for human approval and cutting turnaround from days to minutes.
  • Rolled out a metadata platform cataloguing 400+ data assets with automated column-level lineage, replacing hours of asking the data team with seconds of self-service. (OpenMetadata, Snowflake, DBT, Spark)
  • Led data infrastructure for the first multi-tenant client go-live, cutting onboarding from 2 weeks to 2 days with reusable ingestion modules and canonical data models.
  • Built tenant isolation for fraud and financial crime data, closing a compliance gap without breaking cross-tenant access for fraud teams.
  • Cleared a three-week production blocker in cross-cloud data sharing by reproducing the failure and driving it through vendor engineering.
  • Introduced the team's design review and RFC practice, now used to onboard new engineers.

Day-to-Day Responsibilities

  • Work with AWS-based tech stack: EKS, Java, Scala, Python, Helm, RDS, OpenSearch, Terraform, Apache Spark, DBT, Snowflake, Databricks, S3, Athena, Glue, EMR, Bedrock
  • Lead a distributed data platform team across three regions.
  • Onboard banking clients end to end, from requirements with their engineers to production handover.
  • Own client-facing incident response: root cause, stakeholder comms under escalation, and preventative controls.
  • Build and operate data cataloging, lineage, and governance systems.
  • Own daily regulatory reporting extracts into client cloud storage against contractual SLAs.
  • Mentor engineers and own the technical hiring bar for the data function.
Engineering Lead @ Grab, Singapore
Oct 2019 – Mar 2025
Led the Data Platform team within Grab’s DataTech org, managing 8+ engineers to build cloud-scale data and AI infrastructure powering analytics, experimentation, and business insights across Southeast Asia.

Achievements

  • Architected and launched a Spark-based low-code ETL platform, enabling 600+ daily pipelines and empowering business teams to build workflows without engineering support.
  • Developed a GenAI-powered analytics engine that generated actionable, user-friendly insights from billions of clickstream events, improving product team decision-making.
  • Built a multi-tenant data platform that is used by 5 Grab subsidiaries by introducing a modular authorization framework that reduced access management overhead by 60%.
  • Engineered a data quality validation system processing 5TB+ daily, increasing clickstream data accuracy by 30% and reducing incident rates.
  • Directed the migration of a 1PB+ cloud data lake from AWS to Azure with zero downtime for analytics consumers.
  • Reduced compute costs by 40% for experiment sample prediction by replacing full data scans with HyperLogLog and regression-based estimations.
Data/AI Consultant @ Accenture, Singapore
Feb 2017 – Oct 2019
Data/AI consultant in Accenture’s Applied Intelligence group, architecting secure data lakes, streaming platforms, and cloud migration projects for banking and enterprise clients.

Achievements:

  • Enforced cell-level security for 2000+ datasets at DBS Bank's ADA platform, ensuring regulatory compliance via BlueTalon and Protegrity.
  • Architected and optimized data pipelines handling 10TB+ daily, leveraging Airflow, Spark, and Kafka to improve processing efficiency by 35%.
  • Integrated Kafka ecosystem with enterprise metadata and security, enabling secure, seamless streaming for 20+ teams.
Senior Software Engineer @ Model N, India
Jun 2016 – Jan 2017
Senior engineer in Model N’s Data Engineering team, focused on Spark-based analytics in AWS infrastructure, and SQL migration for pharma and government pricing solutions.

Achievements:

  • Rewrote Oracle SQL logic to ANSI SQL using ANTLR v4, streamlining migration and reducing technical debt.
  • Delivered Spark-based pricing applications on EMR-YARN, reducing processing time for government clients by 40%.
Senior Software Engineer @ Verizon, India
Feb 2014 – Jun 2016
Senior engineer in Verizon’s Security Analytics group, specializing in big data pipelines, fraud detection, and telecom data processing at scale.

Achievements:

  • Built MapReduce and Spark pipelines to analyze authentication and usage for 10M+ users, driving product improvements.
  • Engineered a Spark-based engine for Telephone Denial of Service protection, reducing fraud incidents.
  • Automated complex job orchestration using Oozie, reducing manual interventions by 70%.
Software Engineer @ Tech4sys, India
May 2011 – Jan 2014
Core member of Tech4sys’s product engineering team, building job portals, payment integrations, and social features for B2B and B2C web applications.

Achievements:

  • Designed and launched JobCoconut job portal, delivering robust database architecture and scalable features.
  • Integrated payment gateways and social authentication (Facebook, Google, Twitter, LinkedIn) for e-commerce and job platforms.

Technical Skills

Category Details
Programming Languages Python, Java, Scala, Go
Data & AI Engineering Apache Spark, Apache Kafka, Apache Flink, Apache Iceberg, Airflow, DBT, Databricks, Hadoop
Cloud & DevOps AWS, Azure, Terraform, Kubernetes, Helm, Docker, Gitlab
Databases & Storage S3, Snowflake, ScyllaDB, Presto, StarRocks, DynamoDB, MySQL, PostgreSQL, Elasticsearch
GenAI & Agentic Systems LangChain, Amazon Bedrock (Claude), MCP servers, tool/function-calling agents, structured LLM output (Pydantic), token streaming over SSE, FastAPI
Data Governance OpenMetadata, column-level lineage, data contracts, data quality frameworks, RBAC-as-code
Data Science & Analytics PyTorch, LangChain, MLflow, Superset, Ray, Tableau
APIs & Integration RESTful APIs, gRPC

Academics

Certifications & Independent Courses