Hire Top Senior Data Analyst

Frank Schofield

Dynamic Senior Process Analyst at IBM with a proven track record in business process analysis and team leadership. Expert in designing impactful process models and implementing change management protocols, achieving significant improvements in operational efficiency. Committed to continuous improvement, fostering collaboration, and enhancing training for seamless onboarding and integration.

Douglas Darsow

Dependable professional experienced in management and accounting. Excels in fast evolving environments as well as creating and implementing efficient processes. Committed to excellence, played a key role in the marketing and increased sales of two grocery stores and the redevelopment of fund administration within a legal organization. Proficient in using Microsoft Access and Excel, Elite, HMS and QuickBooks.

Laura Moore

Results-oriented Analyst skillful in managing and breaking down large volumes of information. Proactive at heading off issues in operations, workflow and production by uncovering trends affecting business success. Rational Analyst with 10 years of experience enhancing operations for organizations.

Traci Fulton

Seasoned collaborator experienced in meeting needs, improving processes and exceeding requirements in team environments. Diligent worker with strong communication and task prioritization skills.

Mark Rotundo

Prudent Business Intelligence Analyst with 24 years providing employers with valuable and actionable data to drive profit growth. Practiced at filtering information to find and highlight vital metrics and revelatory findings. Keen support business growth by leveraging intelligence assets to predict and reveal optimal business strategies.

Rohith Pudota

Delivered scalable, high-performance data engineering solutions with over 11 years of IT expertise in Data Engineering, Data Warehousing, and Big Data. Leveraging 5+ years of experience in data engineering and 4+ years in data warehousing across healthcare, finance, retail, and manufacturing domains. Designed, built, and optimized large-scale ETL/ELT pipelines using Azure Data Factory, Azure Databricks, AWS Glue, Snowflake, and Apache Spark. Implemented real-time data ingestion and analytics pipelines leveraging Kafka, Spark Streaming, Azure Event Hubs, and AWS Kinesis. Developed reusable, parameterized pipelines to reduce development time and improve maintainability. Created optimized data models and schemas using dimensional modeling techniques (star schema, snowflake schema). Applied advanced performance tuning techniques such as partitioning, bucketing, indexing, caching, and workload management. Integrated structured, semi-structured, and unstructured data from diverse sources including RDBMS, APIs, and cloud storage. Automated ETL workflows using Apache Airflow, Oozie, Control-M, IBM Tivoli, Jenkins, and Azure DevOps pipelines. Utilized advanced Snowflake features including SnowSQL scripting, time travel, zero-copy cloning, and complex SQL functions. Built CI/CD frameworks for automated deployment, testing, and version control of data pipelines using Git, Jenkins, and Azure DevOps. Developed robust data quality and validation frameworks to ensure dataset integrity and reliability. Managed large, distributed clusters and fine-tuned Spark jobs for optimal performance and scalability. Designed real-time analytics dashboards with Power BI and Tableau for actionable business insights. Wrote complex SQL queries, stored procedures, triggers, and functions for data transformation and reporting. Processed geospatial and time-series datasets using specialized algorithms and frameworks. Created monitoring frameworks using AWS CloudWatch, Azure Monitor, and custom logging systems. Implemented data security and governance measures including RBAC, encryption, GDPR, and HIPAA compliance. Integrated hybrid data sources between on-premises and cloud environments. Mentored and guided junior data engineers, fostering collaborative learning. Collaborated with stakeholders to translate business requirements into scalable technical solutions. Operated effectively within Agile and Scrum frameworks (sprint planning, daily stand-ups, retrospectives). Delivered high-quality solutions on time while balancing technical and business priorities. Researched and adopted emerging data engineering tools and technologies. Transformed raw data into meaningful insights that drive business decisions. Change my professional summary for a business analyst position Senior engineering professional with deep expertise in data architecture, pipeline development, and big data technologies. Proven track record in optimizing data workflows, enhancing system efficiency, and driving business intelligence initiatives. Strong collaborator, adaptable to evolving project demands, with focus on delivering impactful results through teamwork and innovation. Skilled in SQL, Python, Spark, and cloud platforms, with strategic approach to data management and problem-solving.

Jayalakshmi Suryaprakash

Perceptive Senior Business Analyst with 12+ years driving successful business processes for Fintech companies. Dedicated to maximizing impact of key performance metrics to enhance and expand business operations. Known for leveraging both macro and micro-scale analyses to generate holistic images of ongoing business operations for immediate actionability. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.

Saikiran Reddy Durgareddygari

Seasoned Azure Data Engineer with 11+ years of experience designing and implementing scalable, secure, and high-performance data solutions in cloud and hybrid environments. Specializes in Azure Data Factory, Databricks, Synapse Analytics, ADLS Gen2, and Delta Lake. Proficient in PySpark, SQL, and Python for building robust ETL/ELT pipelines and real-time analytics workflows. Skilled in Medallion architecture implementation, DataOps/MLOps pipelines, and CI/CD automation using Azure DevOps, Jenkins, and Terraform. Experienced in integrating solutions with platforms like Power BI, Tableau, Snowflake, Cosmos DB, MongoDB, PostgreSQL, and Oracle Cloud. Ensures data governance and metadata management through Microsoft Purview and dbt. Expertise in event-driven architectures, streaming ingestion with Event Hubs and Azure Stream Analytics, supporting ML models in Azure ML, and developing scalable APIs secured via OAuth2 and AAD B2C. Proficient in Looker, GCP Dataflow, Airflow, DataStage, and OIC integrations for enterprise-wide interoperability. Strong background in designing and maintaining enterprise data warehouses with star/snowflake schema modeling techniques and performance tuning strategies. Recognized for collaborative Agile delivery approach and delivering actionable insights through dynamic dashboards and executive reporting.