Rishi Preetha Padala
Senior Data Analyst @LPL Financial
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WORK HISTORY
Senior Data Analyst @LPL Financial
Tulsa, OK, US
Automated regulatory compliance reporting (SEC/FINRA) by developing 12 SQL/Python/Airflow pipelines, cutting manual effort by 85% and ensuring timely, accurate submissions. Built trade surveillance dashboards in Power BI, reducing reporting time from 2 hours to 10 minutes and increasing incident traceability by 47% for risk teams. Optimized financial data submissions by integrating Redshift and Snowflake, improving reporting speed by 30% and minimizing execution delays for compliance filings. Conducted A/B testing on client communication workflows, boosting engagement by 6.2% through optimized onboarding and messaging strategies. Ensured audit compliance by refining data models to align with SEC/FINRA rules, achieving 100% clearance in the 2024 midyear review. Documented SOX-critical data lineage in Azure Purview, enhancing traceability of sensitive financial datasets and supporting regulatory audits. Mentored 8 analysts on SQL and Airflow in risk and compliance projects, reducing pipeline errors and accelerating onboarding by 40%.
EDUCATION
Alphores High School, Karimnagar
Board of Secondary Education, Telangana - Secondary School (10th Grade)
Jawaharlal Nehru Technological University Hyderabad (JNTUH)
Bachelor of Technology - BTech
Oklahoma Christian University
Master of Science - MS
Alphores Junior College, Karimnagar
Board of Intermediate Education, Telangana - Intermediate or +2
ABOUT RISHI PREETHA PADALA
Data Analyst with 4+ years of experience in designing data solutions using SQL, Python, and R across healthcare, finance, and cloud-native environments. Skilled in building scalable ETL pipelines with Apache Airflow, Informatica, and Azure Data Factory to support cross-functional reporting. Experienced in analyzing structured and semi-structured data using Apache Spark, Hive, and BigQuery for model development and operational insights. Strong in developing dashboards with Power BI (DAX, Power Query), Tableau, and Looker, driving visibility into KPIs and trends. Adept at implementing data governance practices aligned with HIPAA, GDPR, and CCPA across cloud platforms like AWS, Azure, and GCP. Proven ability to automate analytics workflows, validate source-to-target data flows, and document lineage to ensure data quality and compliance.
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