Rajeev Ranjan

Director of Engineering

Mumbai, Maharashtra, India13 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Led teams processing over 600M requests per minute.
Expert in architecting resilient distributed systems.
Passionate mentor for aspiring engineers.

Stackforce AI infers this person is a Data Engineering leader with expertise in Cloud Architecture and Big Data solutions.

Contact

Skills

Core Skills

Data EngineeringCloud ArchitectureApi DevelopmentAnalyticsRisk AnalysisBig Data

Other Skills

AWSAgile MethodologiesAmazon Web Services (AWS)Apache AirflowApache FlinkApache KafkaApache SparkAthenaBatch DataBigQueryBigtableCloud SQLDB2Data GovernanceData Lake

About

I lead engineering teams building enterprise-scale data and ML platforms that power real-time decision-making across Dream Sports' portfolio. Our infrastructure processes 600M+ requests per minute. As a Director of Engineering, I focus on three core areas: architecting resilient distributed systems, building high-performing teams, and translating complex technical challenges into scalable solutions. I thrive at the intersection of infrastructure engineering and product innovation—where robust platform capabilities enable breakthrough user experiences. My approach combines deep technical execution with strategic thinking. I'm energized by problems that require both architectural elegance and operational excellence at scale, and I'm passionate about mentoring engineers to reach their full potential. Currently exploring: AI-native data architectures, the evolution from batch to streaming-first platforms, and building the infrastructure layer that makes LLM integration seamless and cost-effective for product teams.

Experience

Dream11

2 roles

Director of Engineering, Data and ML Platform

Promoted

Jul 2025 – Present · 8 mos · Mumbai, Maharashtra, India

Apache KafkaApache FlinkGoogle Cloud Platform (GCP)Big DataAmazon Web Services (AWS)Python+19

Engineering Manager, Data Platform

Jul 2022 – Jun 2025 · 2 yrs 11 mos · Mumbai, Maharashtra, India

Priceline(booking holdings)

Manager, Data Engineering

Jul 2020 – Jul 2022 · 2 yrs · Mumbai, Maharashtra, India

Leading teams of incredibly talented data engineers, building the customer data platform and dev ops for data engineering.
As a manager, I discuss and finalize data architecture with stakeholders, write, plan and deliver code, do code reviews and mentor my teams.
Responsible for designing Data Lakehouse on GCP. This included the ingress and egress patterns, data security, governance, cataloguing and retention policies.
Designed and developed a framework to migrate data from on-prem databases to Bigquery, Cloud SQL and Bigtable.
Designed a customer360 platform API for real time recommendations with storage on a graph database (Neo4j).
Developed a booking propensity model using the booking and search data.

Google Cloud Platform (GCP)BigQueryCloud SQLBigtableNeo4jData Engineering+1

Morningstar

2 roles

Lead Data Engineer

Oct 2019 – Jul 2020 · 9 mos

Was privileged to lead a great team of data engineers, designing and building data solutions.
Designed the datalake on AWS, patterns for low latency ingestion and egestion which worked with both streaming and batch data.
Designed the pipeline and contributed to modelling of people analytics project. This project had retention model for the org, most impactful contributor within the team, among other outputs. Took excessive measures to encrypt and protect the sensitive data on cloud and on-prem systems.

AWSData LakeStreaming DataBatch DataData EngineeringCloud Architecture

Senior Data Enginner

Jan 2018 – Oct 2019 · 1 yr 9 mos

Was lucky to work with some of the best minds in Finance and Technology and contribute to Morningstar's Risk Model, Quant rating funds and several other projects.
Contributed to build similar companies model for public and private equities, using companies description on wiki and other sources.
Responsible to build the data pipeline for the numerous projects on AWS. S3, EMR, Glue, Athena, DynamoDB were some AWS services we leveraged to get this done.
Built Tableau dashboards and a flask application for the analysis and QA of the output of Risk Model.
Built a data QA framework which acted as barrier between source and destination systems and allowed destination to send queries to source through REST before it ingests data.

AWSS3EMRGlueAthenaDynamoDB+2

American express

Senior Software Engineer

Dec 2012 – Dec 2017 · 5 yrs · Sydney and Mumbai

On Contract from Atos Syntel.
Contributed to building automated fraud systems for American Express. This system would raise alerts for businesses when a fraudulent transaction was detected from the merchant side.
Designed the strategy for migration of periodic reporting from the legacy system to Hadoop(Spark and Hive). Reduced the processing of monthly data from 3 days to 7 hours.
Led several optimization and cost-saving initiatives, which contributed to savings of $100k plus annually.
Developed a very good understanding of card members and merchant payables.

HadoopSparkHiveData EngineeringBig Data