Gayatri Nayak

Data Engineer

Mumbai, Maharashtra, India3 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in building scalable data pipelines.
Proficient in DevOps and data engineering practices.
Strong advocate for collaboration and continuous learning.

Stackforce AI infers this person is a Data Engineering and DevOps specialist in the SaaS industry.

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Skills

Core Skills

Data EngineeringDevopsSoftware TestingWeb Development

Other Skills

AnsibleApache AirflowApache KafkaAzure DevopsCSSCloud ApplicationsCloud Native EcosystemData AnalysisData ReconciliationDevOps FoundationsDevOps Foundations: Continuous Delivery/Continuous IntegrationDevOps Foundations: Infrastructure as CodeDevOps Foundations: Monitoring and ObservabilityELK StackETL Pipelines

About

I enjoy solving problems where technology meets people. For me, data isn’t just numbers — it’s about uncovering patterns, telling stories, and enabling smarter decisions. With experience across data engineering, analytics, testing, and DevOps, I bring an end-to-end perspective on building systems that are both robust and useful. I’ve worked on large-scale data pipelines, real-time monitoring, and cloud-native workflows — always focused on making processes faster, more reliable, and impactful. Curiosity drives me forward. I’m pursuing advanced studies in AI & Data Science and preparing for cloud-native certifications, continually exploring new tools and approaches. Above all, I value collaboration, clear communication, and continuous learning — because success is not just about strong systems, but strong teams that grow together.

Experience

Omya

Data Engineer

Oct 2025 – Present · 5 mos · Mumbai, Maharashtra, India · Hybrid

Jio

2 roles

Data Analyst | DevOps Engineer

Promoted

Sep 2023 – Oct 2025 · 2 yrs 1 mo · Mumbai, Maharashtra, India · On-site

Contributing to end-to-end data reconciliation, developing and deploying Apache Airflow pipelines to automate workflows from extraction to validation and logging, improving SLA compliance and reducing manual errors.
Designed Airflow DAGs with advanced scheduling, dependency handling, and failure recovery; integrated monitoring and alerting tools to enable proactive issue resolution and maintain pipeline reliability.
Built and managed scalable ETL pipelines for structured and semi-structured data, supporting both batch and near real-time processing for analytics and reporting use cases.
Utilized the ELK Stack and PCAP data analysis for real-time log aggregation, system diagnostics, and root cause analysis, contributing to improved system observability and incident response.
Engineered streaming data pipelines using Apache Kafka, configuring Kafka Connectors for seamless integration with external systems like ScyllaDB to enable high-throughput, real-time data movement.
Maintained distributed data systems with ScyllaDB, optimizing for low-latency, write-intensive workloads and enhancing the resilience and scalability of the data infrastructure.

Apache AirflowData ReconciliationETL PipelinesELK StackApache KafkaScyllaDB+2

Assistant Manager

Jul 2022 – Sep 2023 · 1 yr 2 mos · Mumbai, Maharashtra, India · On-site

Conducted manual testing of web and mobile applications to identify defects and ensure functionality and usability
Collaborated with software developers and product managers to define test requirements, scope and
acceptance and usability.
Designed, documented and executed test cases, test scripts and test scenarios, ensuring comprehensive
test coverage
Performed regression testing to verify bug fixes and validate new features across multiple software
releases.
Also was awarded ‘Spotlight Award’ for proactive contribution in Service Validation Team.

Manual TestingRegression TestingTest Case DesignSoftware Testing