Ravi Kumar N K — Engineering Manager

With over a decade of experience in designing, building, and managing large-scale distributed systems, I specialize in architecting resilient, scalable software solutions with a strong focus on technical excellence, performance optimization, and strategic architectural planning. As a seasoned engineering leader, I have successfully built and scaled high-performing software and data engineering teams from the ground up. I foster a culture of innovation, collaboration, and technical rigor, enabling the development of cutting-edge, data-driven solutions that drive business success. My expertise lies in Big Data, Data Engineering, and modern Data Lakehouse architectures, where I have led platform modernization efforts, migrating legacy architectures to Lakehouse frameworks for improved scalability, governance, and analytics capabilities. By partnering closely with Product Management, Sales, and Customers, I have consistently developed innovative data-driven solutions aligned with strategic objectives. I am passionate about leveraging advanced technologies, driving operational efficiency, and inspiring teams to achieve engineering excellence in software, data, and cloud-driven ecosystems. Skill Set: Software Engineering & Architecture: Java, Scala, Python, Microservices, Distributed Systems, Cloud-Native Applications Big Data & Data Engineering: Apache Spark, Apache Iceberg, Delta Lake, Data Pipelines, ETL/ELT Optimization Lakehouse & Cloud Data Platforms: Databricks, Snowflake, AWS, Azure, Google Cloud, Legend (Finos) Data Governance & Compliance: Data Lineage, Audit Trails, Regulatory Compliance, Data Quality Frameworks DevOps & Infrastructure: Kubernetes, Docker, Terraform, CI/CD, Observability, Performance Tuning Leadership & Strategy: Team Building, Engineering Best Practices, Cross-Functional Collaboration, Digital Transformation Let’s connect to explore how I can contribute to your vision.

Stackforce AI infers this person is a Big Data and Cloud Data Engineering expert with a focus on SaaS solutions.

Location: Bengaluru, Karnataka, India

Experience: 13 yrs 4 mos

Skills

Data Engineering
Cloud Data Platforms
Big Data
Software Engineering

Career Highlights

Over a decade of experience in large-scale distributed systems.
Expert in Big Data and Data Lakehouse architectures.
Proven track record in building high-performing engineering teams.

Work Experience

Sigmoid

Engineering Manager (2 yrs)

Senior Technical Lead - Data Engineering (2 yrs 3 mos)

Intel Corporation

Technical Lead - Big Data (2 yrs 6 mos)

Big Data Engineer (2 yrs 6 mos)

Happiest Minds Technologies

Senior Software Engineer (10 mos)

Oracle India Pvt. Ltd

Solutions Engineer (1 yr 3 mos)

Associate Solutions Engineer (1 yr 11 mos)

Education

Post Graduate Diploma at International Institute of Information Technology Bangalore

Bachelor's degree at PES University

Ravi Kumar N K

Engineering Manager

Bengaluru, Karnataka, India13 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over a decade of experience in large-scale distributed systems.
Expert in Big Data and Data Lakehouse architectures.
Proven track record in building high-performing engineering teams.

Stackforce AI infers this person is a Big Data and Cloud Data Engineering expert with a focus on SaaS solutions.

Contact

Skills

Core Skills

Data EngineeringCloud Data PlatformsBig DataSoftware Engineering

Other Skills

AI-driven automationAWSAirflowAlgorithmsApache IcebergApache PhoenixApache PigApache SparkArchitectural DesignAvroAzure Blob StorageCC++Cloud ApplicationsCloud Computing IaaS

About

Experience

Sigmoid

2 roles

Engineering Manager

Promoted

Mar 2024 – Present · 2 yrs · Bengaluru, Karnataka, India

Leading multiple global Data Engineering teams delivering high-performance, scalable data solutions across cloud and on-prem ecosystems.
Driving Data Lakehouse modernization initiatives using Snowflake, Databricks, and Apache Iceberg, and establishing Centers of Excellence (COEs) for reusable frameworks and accelerators.
Managing multiple architects and senior engineers to ensure architectural consistency, technical excellence, and solution scalability.
Spearheading Agentic AI solutioning, integrating AI-driven automation and reasoning agents into Data Engineering workflows for intelligent orchestration, observability, and performance optimization.
Overseeing end-to-end project delivery with a focus on quality, timelines, and cost optimization across multi-region engagements.
Leading pre-sales and strategic client engagements with CXOs and technology stakeholders across geographies to shape large-scale data modernization programs.
Defining reference architectures and best practices for cloud-native data platforms on AWS and Azure, integrating Spark, Snowflake, Airflow, and AI capabilities.
Collaborating with cross-functional teams to translate business needs into robust, production-grade Data + AI Engineering solutions.
Implementing delivery governance frameworks emphasizing agility, automation, AI-assisted monitoring, and observability for large-scale data platforms.
Driving capability building, innovation, and thought leadership across COEs, focusing on Lakehouse, Snowflake, and Agentic AI initiatives.

Data EngineeringSnowflakeDatabricksApache IcebergCloud-native applicationsAI-driven automation+1

Senior Technical Lead - Data Engineering

Nov 2021 – Feb 2024 · 2 yrs 3 mos · Bengaluru, Karnataka, India

Architected and developed end-to-end data engineering solutions leveraging Snowflake, Apache Spark, AWS, DBT, Databricks, Python, Java, and Airflow.
Led a team of 10–15 engineers, driving technical excellence, design reviews, and scalable solution development.
Designed data pipelines and frameworks enabling real-time and batch ingestion, transformation, and analytics at enterprise scale.
Built high-performance, fault-tolerant, and cost-optimized data architectures across AWS and hybrid environments.
Collaborated with business and product teams to translate analytical use cases into technical data models and workflows.
Implemented CI/CD pipelines, infrastructure automation, and testing frameworks for rapid, reliable delivery.
Optimized data modeling, performance tuning, and query efficiency in Snowflake and Spark ecosystems.
Championed data governance, observability, and engineering best practices, improving platform reliability.
Mentored junior engineers and nurtured a culture of learning, innovation, and technical depth.
Developed solution accelerators and reusable frameworks reducing project delivery timelines by up to 40%.

SnowflakeApache SparkAWSDBTDatabricksPython+4

Intel corporation

2 roles

Technical Lead - Big Data

Promoted

May 2019 – Nov 2021 · 2 yrs 6 mos

Playing Architect/Team Lead role to work closely with Business Customers and Architects to design scalable solutions to handle Terabyte/Petabyte's scale
Interacting with various BU's / customers to gather requirements to understand and deliver solutions
Design & develop streaming applications for manufacturing data using Spark/Kafka/Hbase with scale
Leading team to implement various data plugins using big data technologies, proving project effectiveness by 80%. Reduced turn-around time for productionizing ingestion process system developed with easy plug in capability (configuration driven) with reduced production downtime.

SparkKafkaHBaseBig Data

Big Data Engineer

Oct 2016 – Apr 2019 · 2 yrs 6 mos

Developed data extraction plugins for various data sources such as file share, REST API, SFTP, SDK API etc for an inhouse
data engineering framework using big data tools such as hive, impala, Spark, Kafka , Hbase.
Built schema evolution framework to maintain dynamically changing datasets across various sources. One of the key
capabilities to prove the data driven systems to create Data lake

HiveSparkKafkaHBaseBig Data

Happiest minds technologies

Senior Software Engineer

Dec 2015 – Oct 2016 · 10 mos · Bangalore

Technologies Used: Apache Spark, Apache Kafka, Apache HBase, Confluent, Azure Blob Storage, Apache Phoenix, REST API, Spring Boot with MyBatis, SQL
Programming Languages: Java, Scala
Experience in the E-Learning Domain:
Developed a real-time ingestion and alerting framework leveraging Kafka, Spark, HBase, and Phoenix. Key contributions include:
Designed and implemented scalable, out-of-the-box Kafka connectors using the Confluent platform for real-time analytics. Utilized Azure Blob Storage for data persistence and post-processing, scaling the infrastructure to handle petabytes of data.
Built transformation modules for streaming data from source systems using Apache Spark and Hadoop MapReduce.
Developed an HBase-Phoenix integration component to enhance analytical processing, enabling efficient querying for reporting.
Created APIs and microservices using Spring Boot with MyBatis for seamless external consumption.
As one of the earliest adopters and contributors to Kafka Connect Pipelines, I developed both source and sink Kafka Connect solutions, optimizing data flow across the ecosystem.

Apache SparkKafkaHBaseAzure Blob StorageSpring BootMyBatis+1

Oracle india pvt. ltd

2 roles

Solutions Engineer

Promoted

Sep 2014 – Dec 2015 · 1 yr 3 mos

Technologies Used: MapReduce, Rest API, Hive, Kafka, Hbase, Zookeeper, Flume, Oracle 11g, Sqoop , ADF
Programming Languages Used: Java
Developed ADF/Java Applications for SMB's to provide proof of concept using oracle products
Worked for Internal analytics teams developing POC’s to showcase the integration of oracle products with open source big
data tools.
Worked on data extraction capabilities from oracle products such as Oracle 11c DB, Oracle CRM using Map Reduce Api’s to
store data as readable files. Developed integrations between Hive and Hbase to perform CRUD operations
Implemented orchestrating process and scheduler jobs using Oozie to perform seamless data flows between oracle systems
and Hadoop