Ramesh Alla — Data Engineer
As a Data and Application Developer with 5 years of experience building robust solutions for the financial services industry, I am now channeling my passion for data into the field of Artificial Intelligence and Machine Learning. My background has given me a deep understanding of managing and migrating large-scale datasets, modernizing data processing tools, and building the foundational infrastructure that powers intelligent systems. I am actively expanding my expertise in AI/ML and am proficient with core data science libraries like Pandas and NumPy. I'm excited to apply my data engineering background to build end-to-end machine learning pipelines and solve complex business problems. I am eager to connect with innovators and leaders in the AI space and am currently seeking opportunities where I can contribute to a forward-thinking team. - Strong proficiency in Python, PySpark and working experience on Java. - Hands-on experience with Google Cloud Platform services (Big Query, Big Query, Airflow, Spanner etc.) - Experience with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow) - Expertise with SQL and data modeling concepts Design, develop, and maintain robust data pipelines using Python and PySpark - Ensured data quality, integrity, and governance across all pipelines. Implement monitoring and Improve performance of data pipelines. - Implemented best practices for data engineering, including Cl/CD, testing, and documentation. - A quick leaner and a team player My Goal: To join an innovative team as an AI Engineer and help solve challenging problems with data-driven insights. Let's connect! Key Areas of Expertise: 🔹 Programming & Scripting: Python, SQL, PL/SQL, Shell Scripting, AWK 🔹 Databases: Oracle, IBM DB2, Postgres 🔹 Cloud Technologies: Amazon Web Services (AWS), Google Cloud Platform (GCP) 🔹 Developer Tools: Git, VS Code, Linux
Stackforce AI infers this person is a Data Engineer with a focus on AI/ML in the Fintech industry.
Location: Bengaluru, Karnataka, India
Experience: 5 yrs 4 mos
Skills
- Databases
Career Highlights
- 5 years of experience in data engineering.
- Proficient in Python and SQL for data solutions.
- Aspiring AI Engineer focused on innovative projects.
Work Experience
Capgemini
Data Engineer/ Linux Developer (10 mos)
Gresham
MS Consultant (2 mos)
Tata Consultancy Services
Application Developer (4 yrs 6 mos)
Education
Bachelor of Technology - BTech at Jawaharlal Nehru Technological University Kakinada (JNTUK)