Mohammed Ismail Shaikh
Data Engineer | Microsoft Azure Certified I Databricks I AWS | ETL/ELT
- Role
- Data Engineer at Tata Consultancy Services
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Mohammed Ismail Shaikh
Data Engineer with professional experience and many hands-on projects experience in Data Extraction, Data Manipulation, Data Integration, Data Wrangling, Data Reconciliation, Data Monitoring, Statistical Modeling, Data Reporting, Data Governance and Data Visualization. Proficient in Software Development Life Cycle (SDLC) and experience in working with testing methodologies like Agile and Waterfall. A good team player with excellent problem-solving skills and always eager to learn more and solve problems. Proven track record of quickly grasping new concepts related to functional and business processes and utilizing them to drive results.Technical skills:Programming Languages & Libraries: SQL, Python, PySpark, Pandas, NumPy, Scikit-learn, MatplotlibIDEs & Development Tools: PyCharm, MySQL Workbench, Visual Studio, Rstudio, Jupyter NotebookDatabase Management & Tools: Databricks, MySQL, Microsoft SQL Server, Oracle SQL, SAP HANA, Relational Database Management Systems (RDBMS), Erwin Data Visualization & BI Tools: Tableau, Power BI (Service & Desktop), Microsoft Excel, LookerCloud Technologies & Technologies: Azure, Google Cloud Platform (GCP), AWSProject Management Tools: Jira, ServiceNowMethodologies: Agile (Scrum), Waterfall, Software Development Life Cycle (SDLC)
Experience
Data Engineer
Jun 2024 — Present · NJ, US
Built and orchestrated parameterized ADF pipelines, reducing pipeline setup time by 20% and increasing deployment accuracy to 95%.• Designed manual ADF pipelines to trigger Databricks notebooks, cutting execution time by 25% and streamlining data workflows.• Collaborated with Business Analysts to convert supply chain and logistics requirements, along with MDD (Master Data Document) specifications, into scalable SQL data models.• Designed and built normalized SQL tables with optimized indexing, constraints (PK, FK, unique), partitioning, and appropriate data types to ensure high performance and integrity.• Curated and cleaned large datasets using SQL, Python, Databricks, and Azure, improving overall data quality by 25% by resolving inconsistencies, nulls, and outliers.• Developed complex SQL queries and data relationships to support analytics dashboards and seamless system integrations.• Created and maintained schema documentation to ensure clarity and consistency across cross-functional technical teams.• Led unit testing efforts, identifying and fixing 30% more data issues pre-deployment and improving data reliability.• Executed automated CI/CD pipelines for DDL/DML deployments, ensuring smooth schema updates across multiple environments.• Presented testing results and insights to both technical and business stakeholders to drive faster resolutions and informed decisions.
Education
Don Bosco Institute of Technology (D.B.I.T)
Bachelor of Engineering - BE, Computer Engineering
Pace University - Seidenberg School of Computer Science and Information Systems
Master's degree, Information Systems
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.