Available for Senior & Staff Roles

Srikrishna Pradeep Jorige

Senior Data Engineer · MSc Artificial Intelligence · AI Systems Builder

I build enterprise data platforms and agentic AI systems that don't just process data — they reason about it. 5+ years across Uber and Google. From raw pipelines to self-operating AI products.

Explore My Work Get in Touch →
83%
Manual effort reduced
2k+
Workflows automated
70+
Spark pipelines owned
<2min
Schema design (was 4 days)
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01 / About

The engineer behind
the systems

Available
SPJ
Srikrishna Pradeep Jorige
Senior Data Engineer · AI Builder
LocationHyderabad, India
Experience5+ Years
CurrentIndium Software
EducationMSc AI · QMUL London
ClientsUber · Google
💎Gem Award2025
Shining Star Award2026

I'm a Senior Data Engineer with an MSc in Artificial Intelligence from Queen Mary University of London — a combination that lets me design systems where intelligence is foundational, not an afterthought.

Over 5+ years, I've shipped everything from large-scale Spark ETL pipelines powering Uber's global pricing intelligence across 30+ countries, to a full-stack GenAI platform that compresses schema design from 4 days to under 2 minutes. I've led teams, owned architecture, and built agentic AI products that run in production.

At Indium Software, I currently lead data platform and AI engineering for Uber and Google — building the Liftr AI agentic platform, owning the MCP execution layer, and setting engineering standards across teams of 6–8 engineers.

I'm focused on the frontier where data engineering meets agentic AI — systems that don't just move data but reason about it, adapting autonomously and reducing human intervention at scale.

Career Timeline
May 2025 – Present
Senior Data Engineer
Indium Software · Hyderabad, India
Jun 2024 – May 2025
Data Engineer
Indium Software · Hyderabad, India
2022 – 2023
MSc Artificial Intelligence
Queen Mary University of London · UK
Jan 2020 – Aug 2022
Software Development Engineer
Modak · Hyderabad, India
02 / Work

Where I've built

Indium Software
Senior Data Engineer·Hyderabad, India·Jun 2024 – Present
Current
01 · Uber ClientFlagship
Liftr AI Platform
Agentic Data Engineering
~80%Manual cut
MCPArchitecture
FullAgentic ops
  • Built Liftr AI — agentic platform enabling full data ops via conversational workflows
  • Designed MCP-based execution layer with validation, access control, and auditability
  • Supports querying, profiling, migration, and transformations across heterogeneous systems
MCP ServersLangGraphClaude AIFastAPI
02 · Google ClientAI Product
AI Data Modeling Assistant
Schema Generation Platform
<2mSchema time
12+Methodologies
7Artifact types
  • Ingests CSV/DB/Sheets, profiles with DuckDB, generates schemas via GPT-4o
  • Outputs SQL DDL (5 dialects), ERDs, complete dbt projects in one click
  • Two independent stacks: React+FastAPI and lightweight Flask+Sheets
GPT-4oReactFastAPIDuckDBdbt
03 · Google Client
CQIA Automation Platform
Consensus & Audit Reports
2k+Reports made
<10mWas hours
100%Code coverage
  • Built 4 production Apps Script platforms for annotation, audit, and scoring
  • Dynamic schema rendering, multi-language, multi-template report generation
  • 7-step expert workflow with rubric management and real-time autosave
AppScriptGoogle SheetsPython
04 · Uber Client
Safety Ops Standardization
Pipeline Architecture & Leadership
83%Manual cut
6–8Eng. led
70+Pipelines
  • Led 6–8 engineers; defined pipeline architecture using Piper (Airflow) framework
  • Standardized 70+ Spark pipelines, cutting code duplication and manual intervention ~80%
  • Improved traceability, reliability, and onboarding speed across Safety Ops
PySparkAirflowPythonSQL
05 · Uber Client
Global Intelligence Pipelines
Pricing & Mobility Intelligence
17+Migrated
30+Countries
120+Tests migrated
  • Migrated 17+ Hive pipelines to Spark for Uber's global pricing intelligence team
  • Generated RSM for 30+ countries with DST adjustments for accurate fare sampling
  • Migrated 120+ tests to UDQ framework; built Tableau observability dashboards
PySparkHiveSQLTableau
06 · Internal AI Product
AI Data Insights Assistant
Automated Analytics Platform
AutoDashboards
AIDriven
0Manual config
  • Converts raw datasets into automated dashboards with KPIs and visual insights
  • AI interpretation reduces dependency on manual dashboard creation entirely
  • Accelerates insight generation for analytics teams from data to decisions in minutes
LLMsPythonStreamlitLooker Studio
Modak
Software Development Engineer·Hyderabad, India·Jan 2020 – Aug 2022
01 · Core PlatformFoundation
Nabu — Enterprise Data Migration Platform
Multi-cloud metadata & migration
70%Faster workflows
70%Infra setup cut
4+Cloud platforms
  • Core contributor to Nabu — enterprise data migration and metadata platform for multi-cloud onboarding
  • Built multi-threaded metadata crawlers using Java, Kafka, and CDC across BigQuery, Snowflake, Redshift, Azure Synapse
  • Developed Spark-based migration and profiling pipelines improving workflow speed by ~70%
  • Automated infrastructure provisioning via Terraform reducing setup time by ~70%
JavaKafkaSparkTerraformBigQuerySnowflakeCDC
02 · Internal
Spark Pipeline Migration
Spark 2.4 → Spark 3
2mDelivery
ZeroDowntime
100%Data integrity
  • Migrated all Spark 2.4 pipelines to Spark 3 within a 2-month critical deadline
  • Refactored code, resolved compatibility issues, implemented robust error handling
  • Zero disruption to Rider team operations; full unit, integration, and E2E validation
PySparkSpark 3Python
03 / Skills

Technical arsenal

Python95%
PySpark92%
SQL / T-SQL92%
Java78%
FastAPI / Flask88%
React / TypeScript80%
Streamlit84%
Shell / Bash78%
LangChain / LangGraph90%
OpenAI GPT-4o92%
Claude / Anthropic API88%
MCP Servers88%
Agentic AI Systems87%
RAG Pipelines85%
Prompt Engineering90%
ML / NLP / Deep Learning80%
Apache SparkApache AirflowKafkaHDFSETL & ELT PipelinesData ModelingData LakehouseMedallion ArchitectureData Vault 2.0Star / Snowflake SchemadbtDuckDBData GovernanceData LineageSCD Type 1/2/3Pipeline ObservabilityMetadata ManagementTableauLooker Studio
AWS (Glue, S3, Redshift)Azure (ADF, Databricks, Synapse)GCP (BigQuery, Dataflow)DockerTerraformGit / GitHubCI/CDMicroservicesDistributed SystemsWebSocketsREST APIs
PostgreSQLBigQuerySnowflakeRedshiftAzure SynapseMySQLApache HiveGraphQLDuckDBGoogle Sheets API
04 / Recognition

Awards & impact

💎
Gem Award
2025 · Indium Software
Awarded for exceptional technical contributions, delivering high-impact AI-driven solutions, and outstanding engineering leadership across cross-functional teams serving Uber and Google.
Shining Star Award
2026 · Indium Software
Recognized for consistently driving automation and GenAI platform development, delivering measurable business impact and pioneering AI-first solutions across enterprise engagements.
🏆
Client Appreciations
Multiple · Uber & Google
Multiple formal recognitions from Uber and Google stakeholders for reliable, scalable delivery and innovative automation that directly improved team productivity and data quality at scale.
83%
Reduction in manual effort across all pipelines
2k+
Workflows automated — hours → under 10 minutes
4d→2m
Schema design time via AI modeling platform
30+
Global markets enabled via RSM expansion
05 / Education

Academic foundation

Master of Science
Artificial Intelligence
Queen Mary University of London · UK
Year2022 – 2023
LocationLondon, United Kingdom
DissertationConversational AI via RAG Transformers
Coursework: Machine Learning, Deep Learning & NLP, Applied Statistics, Neural Networks, Applied AI.
Bachelor of Engineering
Computer Science
Osmania University · Hyderabad, India
Year2016 – 2020
LocationHyderabad, India
Coursework: Data Science & Big Data Analytics, Programming & Problem Solving, Operating Systems, Internet of Things.
Certifications
Azure Data Scientist — Associate Azure AI Fundamentals Azure Data Fundamentals Azure Fundamentals Snowflake — Data Warehouse & Applications AWS Data Engineer (Pursuing) Google Professional Data Engineer (Pursuing)
06 / Contact
Let's build
something remarkable

Open to Senior Data Engineer, Staff Engineer, and AI Platform Lead roles — remote or hybrid, globally. If you're building at the intersection of data scale and intelligent systems, let's talk.

Open to Opportunities Remote & Hybrid Worldwide