Shrusti K.
Lead Data Analyst | Business Intelligence | Data Engineering | SQL | Python | Big Data | Machine Learning | NLP | Data Sciences | Visualization using Tableau, Power BI and Excel
- Role
- Lead Data Engineer at Abbott
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Shrusti K.
Seasoned Data Engineer/ML Engineer with 10+ years of experience bridging business needs…
Experience
Lead Data Engineer
Mar 2023 — Present · Santa Clara, CA, US
Led the design and delivery of comprehensive data solutions supporting sales, finance, and operational analytics.• Collaborated with cross-functional stakeholders to define reporting needs and translate them into scalable BI products.• Developed advanced dashboards using Qlik Sense, Power BI, and Tableau to visualize KPIs, trends, and forecasts.• Built and maintained robust ETL pipelines using SSIS, Python, and Azure Data Factory for end-to-end data integration.• Implemented automated rules in Azure Data Factory to monitor abnormal activity thresholds for proactive alerts.• Automated data ingestion from Google Cloud Storage into BigQuery and performed transformation using Dataflow.• Conducted in-depth data analysis using SQL, Python, Spark, and Databricks on platforms like AWS Redshift, Snowflake, and Teradata.• Integrated and transformed data from various sources including Salesforce, REST APIs, Excel, and SQL Server.• Designed and implemented semantic data models for self-service analytics and standardized reporting.• Built ML-based translation models in Python to convert multilingual text into English for sentiment and root cause analysis.• Developed and maintained logical and physical data models for multi-system modernization projects, integrating data from Snowflake, BigQuery, and SQL Server into unified schemas• Led efforts to centralize analytics into a unified data layer, streamlining access and governance.• Created dynamic dashboards and automated reports for executive leadership to support decision-making.• Developed data storytelling frameworks using visualization best practices and color theory for readability.• Performed root cause analysis on operational issues to identify inefficiencies and process bottlenecks.• Tuned performance of Qlik Sense apps and SQL queries to optimize dashboard refresh and load times.• Implemented data quality checks and auditing mechanisms across the ETL process to ensure data integrity.
Education
National Institute of Technology Karnataka
Bachelor of Technology - BTech
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