Nikita Gaurihar
Data Engineer @Actian
Signup · Get unlimited contacts
WORK HISTORY
Data Engineer @Actian
US
Own end-to-end development of scalable data pipelines supporting analytics and reporting use cases across cloud and hybrid environmentsLed migration of raw and semi-structured data from flat files to the Actian Data Platform, eliminating 19 hours/week of manual processing and improving data availability for analytics teamsDesigned and orchestrated 27+ data pipelines ingesting 60M+ records from 9+ data sources, enabling centralized analytics and operational reportingBuilt Python-based automation for data extraction, transformation, and validation, reducing data processing time by 32% and improving pipeline reliabilityApplied dimensional data modeling (facts, dimensions, SCD Type 2 & Type 4) to support BI and analytics workloads with historical accuracyDelivered 19+ financial KPI dashboards in Power BI, increasing data accessibility by 60% and supporting data-driven decision-making for business stakeholdersPartnered with cross-functional Agile teams to translate business requirements into analytics-ready data models and pipelinesImplemented data quality checks and monitoring processes to improve trust and consistency in analytics outputs
EDUCATION
Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering
Northeastern University
Master's degree, Information systems
Welingkar Institute of Management
Post Graduation Diploma in Management, Research & Business Analytics
ABOUT NIKITA GAURIHAR
I’m a Data Engineer with over 6 years of experience building scalable data platforms and product analytics solutions that turn complex data into actionable business insights.I specialize in designing and owning end-to-end data pipelines, analytics data models, and BI frameworks that enable product, growth, and leadership teams to make informed decisions. My work focuses on improving data accessibility, reliability, and performance across cloud and hybrid environments.Currently at Actian, I lead analytics-driven data engineering initiatives, including migrating large-scale datasets to cloud platforms, orchestrating high-volume data pipelines, and developing dimensional data models that power KPI dashboards and self-service analytics. These efforts have reduced manual processing, improved data quality, and increased stakeholder adoption of analytics across teams.I partner closely with Product Managers, Analysts, and Engineers to define metrics, support experimentation, and ensure data solutions align with real business and user outcomes. I bring a strong foundation in data modeling, ETL/ELT, cloud platforms, and automation, along with a product-oriented mindset shaped by experience in business analytics and people analytics.Core strengths include: 1. Product Analytics & KPI Frameworks 2. Scalable Data Pipelines (Batch & Semi-Structured Data) 3. Dimensional Modeling, SCDs & Data Governance 4. Cloud Data Platforms (GCP, Azure, Hybrid) 5. BI & Self-Service Analytics (Power BI, Tableau, Looker)6. Cross-functional collaboration & stakeholder engagementI’m motivated by building data systems that don’t just move data—but drive decisions, improve products, and create measurable impact. I’m especially interested in roles where data engineering and product analytics intersect to support growth, experimentation, and AI-driven insights.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.