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Sai Kalyan Nadella - Data Analyst
[email protected]
Location: Remote, Remote, USA
Relocation: anywhere in USA
Visa: H1B
Sai Kalyan Nadella
[email protected] | 667 335 3341
SUMMARY
Data and BI Analyst with 5+ years designing ETL pipelines, dimensional data models, and automated reporting on
AWS (Redshift, S3, EC2), Oracle, and cloud platforms (Snowflake, BigQuery). Processed 100M+ row multi-source datasets;
built statistical models and Tableau dashboards that improved forecast accuracy by 15% and cut data quality issues by 50%
across finance, operations, and executive reporting cycles.
EXPERIENCE
BI and Analytics Engineer | Community Dreams Foundation | Baltimore, MD | Feb 2025 - Jan 2026
Nonprofit tech organization; built BI data layer and ETL infrastructure on Snowflake and AWS supporting a cross-functional ops team.
Engineered ETL pipelines (Airflow, dbt, Python) loading multi-source CRM and ops data into Snowflake; processed 100M+
rows across 5+ models, eliminating 15+ hours/week of manual work.
Influenced 3 department heads to adopt a unified KPI framework despite conflicting definitions; reduced data issues by
50% through structured alignment sessions and dbt validation in Confluence.
Presented 10+ Tableau dashboards and performance readouts to C-suite and department heads; translated complex ETL
and data quality findings into executive narratives that improved decision-making speed by 20%.
Deployed a natural language query interface on Snowflake using LLM tooling (GPT-4, Claude); enabled non-technical
stakeholders to self-serve data exploration, cutting ad hoc reporting requests by 40%.
Gathered requirements across marketing, finance, and ops; documented data contracts in Confluence that eliminated
rework and delivered all 3 analytics initiatives on time.
Product Analyst Intern | Public Consulting Group (PCG) | Baltimore, MD | Jun 2024 - Dec 2024
Management and technology consulting firm; delivered BI infrastructure and automated reporting on SQL Server and Databricks for
100+ business users.
Partnered across product, engineering, finance, and RevOps to gather requirements and build Tableau/Splunk KPI
dashboards; reduced rework cycles by 30% through cross-functional alignment.
Diagnosed performance bottlenecks in SQL Server; rewrote complex queries (CTEs, window functions, temp tables) and
tuned indexes, improving data extraction speed by 25% for 100+ business users.
Diagnosed low adoption across 100+ users; consolidated reports and optimized Tableau Server (permissions, RLS,
extracts) through stakeholder education, growing active users by 40% and saving 10+ hours/week.
Managed 3 concurrent workstreams under shifting requirements; reprioritized delivery to surface critical defect trends
ahead of schedule, reducing post-release defects by 70% and first-time-right delivery by 35%.
Business Intelligence Analyst | Tiger Analytics | Hyderabad, India | Mar 2022 - Jul 2023
Analytics and AI consultancy serving Fortune 500 clients; designed BI warehouse solutions and ETL pipelines for finance, supply
chain, and business planning workstreams.
Built ETL pipelines consolidating 5 ERP sources into Snowflake data marts; cut manual budget reconciliation by 20+
hours/month for enterprise finance teams.
Delivered results on $500M+ quarterly planning cycles by building time-series and regression forecasting models
(statsmodels, scikit-learn) on Snowflake and AWS Redshift; improved forecast accuracy by 15% (RMSE).
Led 4 junior BI analysts; owned work assignments, weekly 1:1s, and delivery accountability, increasing team dashboard
output by 30% with zero critical production defects.
Implemented a data quality framework and KPI dictionary (null, uniqueness, referential integrity, control totals) using dbt
tests and SQL scripts; reduced reporting defects by 40%.
Led requirements workshops with Finance, Supply Chain, and Marketing; defined scope, timelines, and tradeoffs for 3
initiatives, cutting sprint rework by 25% and ensuring on-time delivery.
Data Operations Analyst | IQVIA | Bangalore, India | Dec 2019 - Feb 2022
Global clinical research organization (CRO); built data warehousing and automated reporting infrastructure on Oracle and SQL Server
across 30+ concurrent global clinical studies.
Constructed Oracle and SQL Server data marts and ETL workflows processing multi-dimensional clinical datasets across
30+ global studies; built Tableau dashboards tracking SLA attainment, backlog, and daily throughput.
Performed statistical analysis using SAS and SQL on multi-source study ops datasets to identify compliance gaps;
implemented control totals and anomaly thresholds achieving 100% accuracy in regulatory reporting.
Automated reporting pipelines using Oracle views, SQL Server (CTEs, window functions), and Excel (Power Query, VBA
macros); saved 20+ hours per week and cut client submission errors by 65%.
Owned documentation for 30+ global studies - data dictionaries, SOPs, and requirements specs in Confluence;
standardized templates cut analyst onboarding time by 30% with zero regulatory audit gaps.
SKILLS
Data Warehousing and Modeling: Star schema, dimensional modeling, data marts; Snowflake, AWS Redshift, BigQuery,
SQL Server, Databricks
ETL and Pipeline Engineering: dbt, Airflow, Fivetran, Azure Data Factory, Python (pandas, SQLAlchemy), Excel VBA/Power
Query, Git/GitHub
AWS: Redshift, S3, EC2, RDS, DynamoDB, Lambda, SQS, CloudWatch, IAM; multi-account environments
Data Visualization: Tableau (LOD, performance tuning, Server admin, RLS, extracts), Power BI (DAX, Power Query),
Amazon QuickSight, Looker, Splunk
Statistical Analysis and Methods: Time-series forecasting (ARIMA, regression), variance analysis, cohort analysis,
segmentation, A/B testing, anomaly detection; SAS, Python (scikit-learn, statsmodels)
SQL and Querying: Joins, CTEs, window functions, stored procedures, query optimization; SQL Server, Snowflake,
BigQuery, Redshift
Data Governance: KPI dictionaries, validation SOPs (control totals, null checks, referential integrity), Monte Carlo
EDUCATION
M.S. Engineering Management | Johns Hopkins University | Baltimore, MD | Dec 2024
Bachelor of Technology | Manipal Institute of Technology | Manipal, India | May 2019
Keywords: cprogramm artificial intelligence business intelligence sthree active directory Maryland
Keywords: cprogramm artificial intelligence business intelligence sthree active directory Maryland
Keywords: cprogramm artificial intelligence business intelligence sthree active directory Maryland

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