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Dynamic professional with finance industry experience and the ability to navigate complex challenges. Demonstrates strong problem-solving skills and a proactive analytical approach to new tasks. Motivated to continuous learning and fostering team collaboration. Committed to making meaningful contributions and advancing organizational goals.

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.

Results-driven Engineer with 7 years of overall IT experience, including 4+ years in Data Engineering. Skilled in designing and implementing scalable data pipelines, ETL processes, and data architectures to support enterprise analytics and business intelligence. Proficient in SQL (query optimization), Python, and Shell scripting, with hands-on expertise in Snowflake, AWS (S3, EC2), Apache Airflow, and DBT for modern data warehousing, orchestration, and automation. Experienced in data modeling, data quality, and validation, complemented by strong knowledge of Git, Linux/Unix, and cloud platforms. Adept at optimizing workflows, solving complex data challenges, and enabling data-driven decision-making that improves operational efficiency and business outcomes.


  Seeking to advance my career as a SAS programmer within a reputable organization where I can leverage my extensive experience in SAS programming to contribute to the organization's growth.
  As a certified SAS Base Programmer with over 6 years of experience in Healthcare, Clinical, and Pharmaceutical industries, I have been involved in Phase II, III, and IV Clinical Trials, ensuring compliance with Clinical Protocol, SAP, internal SOPs, and annotated CRF. My expertise extends to understanding Clinical Trial Phases, clinical protocols/CRF’s/Annotated CRF’s ICH and GCP guidelines, NDA, IND, MedDRA, and 21 CFR PART 11, along with familiarity with Electronic submission guidelines to FDA.
  Collaborating closely with statisticians, Data managers, and Clinicians, I have developed various reports and handled Clinical Data reporting and Data analysis using a range of SAS tools including SAS/Base, SAS/Macros, SAS/Stat, SAS/SQL, SAS/graph, SAS/Connect, SAS/ACCESS, and SAS ODS.
  My experience encompasses Clinical Trials Data captures, Data Validation, Data Management, Statistical Analysis, and Reporting, with a thorough understanding of CDISC (Clinical Data Interchange Standards Consortium) and SDTM process. I have prepared SDTM and ADaM data sets as per CDISC standards and possess knowledge of integrated safety and efficacy summary (ISS & IES) for FDA submissions.
  Additionally, I have demonstrated proficiency in creating SAS data sets, generating listings, Analysis Data Sets (ADS), graphs, and tables (TLG) as per Statistical Analysis Plan (SAP), along with analyzing Case Report Forms (CRF) data, Study Protocol, Statistical Analysis Plan (SAP), and Clinical Data Analysis. My expertise also extends to data cleaning processes and extracting data from various sources like Oracle database, Excel, and flat files using Import techniques.
  I possess strong skills in various SAS procedures such as Contents, Print, Freq, Means, Univariate, Summary, Report, Tabulate, GPlot, Gchart, Format, Transpose, and Proc SQL. Moreover, I have developed routine codes with SAS Macro, debugged macros using options such as MPRINT, MLOGIC, and SYMBOLGEN, and have experience in modifying existing macros.
  Furthermore, I have expertise in converting SAS Datasets to various file types including MS Excel, PDF, and extracting data from various flat files and databases. I excel in analytical thinking, problem-solving, and organization, and thrive in collaborative environments, demonstrating excellent communication skills, self-motivation, teamwork, enthusiasm, innovation, and a penchant for challenges.


Roopa Kunijadar

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Data Engineer, Management & Governance Analyst

Data Engineer, Management & Governance Associate

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Bachelor of Engineering - Computer Science

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Data Engineer, Management & Governance Analyst

Data Engineer, Management & Governance Associate

Bachelor of Engineering - Computer Science

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