Trishul Trishul

Data Engineer

United States2 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Expert in cloud consulting and data engineering.
Proven track record in optimizing data pipelines.
Strong collaboration skills with diverse teams.

Stackforce AI infers this person is a Data Engineer specializing in cloud technologies and data analytics within the Healthcare sector.

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Skills

Core Skills

Data EngineeringCloud ConsultingData AnalyticsCloud Technologies

Other Skills

Data PipelinesMachine LearningData ArchitectureETL WorkflowsData ProcessingCritical ThinkingData ModelsData VisualizationsPythonSQLBigQueryGCPCloud DataflowCloud ComposerCloud Functions

About

Holding a background in Business Analytics from Lewis University, I am currently thriving as a Data Engineer at Deloitte, where my core competencies in cloud consulting and data pipeline optimization are put to daily use. In my tenure at Deloitte, I have tackled global consulting challenges, fostering my ability to collaborate effectively and leverage machine learning applications to drive business solutions. This role has honed my critical thinking and adaptation to rapid industry changes, ensuring I contribute not just technical skills, but also a mindset aligned with our culture of continuous improvement and diversity of thought. My journey also includes a foundational education in Commerce with a focus on computers from Vaagdevi Degree and PG College, which laid the groundwork for my technical expertise.

Experience

Deloitte

Data Engineer

Sep 2023 – Present · 2 yrs 6 mos

Working at a global consulting firm has allowed me to collaborate with diverse teams, solve intricate business problems, and refine my expertise in data architecture, cloud technologies, and machine learning applications. My role challenges me to stay ahead of industry trends, embrace change, and continuously improve—qualities that define my professional ethos.
Collaboration & Problem-Solving
Work with diverse, cross-functional teams to tackle complex business challenges.
Partner with stakeholders to design scalable, data-driven solutions.
Expertise in Data & Cloud Technologies
Design and implement data architectures for efficient storage, processing, and analytics.
Leverage cloud platforms (GCP, AWS, Azure) for scalable and secure data solutions.
Apply machine learning to enhance predictive analytics and business insights.
Adaptability & Continuous Learning
Stay ahead of industry trends in data, AI, and cloud innovations.
Embrace change, drive improvements, and optimize processes for efficiency.
Passionate about building data-driven solutions, driving innovation, and solving real-world business challenges.

Cloud ConsultingData PipelinesMachine LearningData ArchitectureCloud TechnologiesData Engineering

Cvs health

2 roles

Data Engineer

May 2023 – Sep 2023 · 4 mos

Complex Data Processing & Workflow Optimization
Solved challenging data processing issues, ensuring efficiency & scalability.
Optimized ETL workflows for faster data transformation & analytics.
Technology Adaptation & Critical Thinking
Quickly adapted to new technologies & frameworks in data engineering.
Applied critical thinking to enhance data-driven decision-making.
Driving Meaningful Insights
Transformed raw data into actionable insights for business impact.
Developed data models & visualizations to support strategic initiatives.
Passionate about leveraging data to solve real-world problems and drive innovation.

ETL WorkflowsData ProcessingCritical ThinkingData ModelsData VisualizationsData Engineering+1

Data Engineer

Mar 2022 – May 2022 · 2 mos

My professional journey began with an internship at CVS, where I gained hands-on experience in managing data pipelines and working with large-scale datasets. This invaluable experience paved the way for my next role at Tech Talent Connect.
Project 1: Teradata to GCP Data Migration (Claims Data Processing)
Led Teradata to GCP migration, ensuring data accuracy, integrity, and performance.
Optimized BigQuery warehouse structures with partitioning & clustering for efficient querying.
Developed Python-based ETL workflows using Cloud Composer, Dataflow & Cloud Storage for incremental data loading.
Applied SQL optimizations in BigQuery for faster queries & cost efficiency.
Automated data extraction, transformation, and validation using Python, SQL & GCP services.
Ensured HIPAA compliance with secure claims data handling.
Project 2: ETL Pipeline Development Using Dataflow, Composer & Cloud Functions
Designed serverless ETL pipelines with Cloud Dataflow (Apache Beam) for real-time & batch processing.
Orchestrated workflows with Cloud Composer (Airflow) for seamless data ingestion & transformation into BigQuery.
Built event-driven data pipelines using Cloud Functions & Pub/Sub for real-time claims ingestion.
Implemented schema validation, deduplication, and data quality checks with Python & SQL.
Developed CI/CD pipelines with Terraform, Jenkins & Cloud Build for automated deployments.
Improved ETL efficiency via partitioned tables, query optimizations & auto-scaling in GCP.
Ensured data governance, access control & encryption for compliance.
Technical Stack
GCP Services: BigQuery, Cloud Composer, Dataflow, Cloud Functions, Cloud Storage, Pub/Sub
Programming: Python, SQL (BigQuery, Teradata SQL), Bash
Data Processing: Apache Beam, Pandas, NumPy
DevOps & CI/CD: Terraform, Jenkins, Cloud Build, Git
Orchestration & Automation: Apache Airflow, Pub/Sub